K223504 · Ceribell, Inc. · OMB · May 23, 2023 · Neurology
Device Facts
Record ID
K223504
Device Name
Ceribell Status Epilepticus Monitor
Applicant
Ceribell, Inc.
Product Code
OMB · Neurology
Decision Date
May 23, 2023
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.1400
Device Class
Class 2
Attributes
Software as a Medical Device, Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K223504 · May 23, 2023
Ceribell Status Epilepticus Monitor
Ceribell, Inc.
Retrospective clinical EEG recordings from 6 hospitals
The sponsor used a retrospective dataset of 350 clinical EEG recordings to validate the performance (sensitivity and specificity) of the Ceribell Status Epilepticus Monitor algorithm.
The Ceribell Status Epilepticus Monitor is a software as medical device that is intended to analyze EEG recordings captured with the Ceribell Pocket EEG Device and the Ceribell Instant EEG Headband and diagnose electrographic status epilepticus in patients greater than or equal to 18 years of age who are at risk for seizure. The software analyzes EEG waveforms and identifies patterns that may be consistent with electrographic status epilepticus as defined in the American Clinical Neurophysiology Society's Guideline 14. The diagnostic output of the Ceribell Status Epilepticus Monitor is intended to be used as an aid for determining patient treatment in acute-care environments. The device's diagnosis of Electrographic Status Epilepticus provides one input to the clinician that is intended to be used in conjunction with other elements of clinical practice to determine the appropriate treatment course for the patient. The Ceribell Status Epilepticus Monitor is intended for diagnosis of Electrographic Status Epilepticus only. The device does not substitute for the review of the underlying EEG by a qualified clinician with respect to any other types of pathological EEG patterns. The device is not intended for use in Epilepsy Monitoring Units.
Device Story
Software as medical device (SaMD) analyzing EEG waveforms to detect electrographic status epilepticus (ESE); inputs EEG data from Ceribell Pocket EEG Device and Instant EEG Headband (10 electrodes, 8 channels); algorithm identifies ESE patterns per ACNS Guideline 14; outputs binary ESE detected/not-detected status; used in acute-care environments by clinicians; provides rapid diagnostic input to guide treatment decisions (e.g., antiseizure medication) before full neurologist review; benefits include faster treatment initiation; risks mitigated by clinician oversight and standard-of-care fallback.
Clinical Evidence
Retrospective clinical validation study using 350 subjects (>= 18 years) from 6 hospitals. Ground truth established by majority opinion of expert neurologists. Results: 100% sensitivity (10/10 ESE-positive) and 94% specificity (319/340 ESE-negative). 95% CIs calculated via BCa Bootstrap, Wilson, and Jeffreys methods.
Technological Characteristics
SaMD; analyzes 8-channel EEG data from 10-electrode headband (bipolar montage). Binary output (ESE detected/not-detected). Software-based detection algorithm. Operates on Ceribell Pocket EEG Device platform.
Indications for Use
Indicated for diagnosis of Electrographic Status Epilepticus in patients >= 18 years of age at risk for seizure. Not for use in Epilepsy Monitoring Units.
Regulatory Classification
Identification
An electroencephalograph is a device used to measure and record the electrical activity of the patient's brain obtained by placing two or more electrodes on the head.
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May 23, 2023
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Ceribell, Inc. Raymond Woo, Ph.D. Chief Technology Officer 360 N Pastoria Ave. Sunnyvale, CA 94085
Re: K223504
Trade/Device Name: Ceribell Status Epilepticus Monitor Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: Class II Product Code: OMB Dated: April 28, 2023 Received: April 28, 2023
## Dear Raymond Woo:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4. Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# Patrick Antkowiak -S
Patrick Antkowiak, Ph.D. Acting Assistant Director DHT5A: Division of Neurosurgical, Neurointerventional and Neurodiagnostic Devices OHT5: Office of Neurological and Physical Medicine Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K223504
Device Name Ceribell Status Epilepticus Monitor
#### Indications for Use (Describe)
The Ceribell Status Epilepticus Monitor software is indicated for the diagnosis of Electrographic Status Epilepticus in patients greater than or equal to 18 years of age who are at risk for seizure. The Ceribell Status Epilepticus Monitor software analyzes EEG waveforms and identifies patterns that may be consistent with electrographic status epileptious as defined in the American Clinical Neurophysiology Society's Guideline 14.
The diagnostic output of the Ceribell Status Epilepticus Monitor is intended to be used as an aid for determining patient treatment in acute-care environments. The device's diagnosis of Electrographic Status Epilepticus provides one input to the clinician that is intended to be used in conjunction with other elements of clinical practice to determine the appropriate treatment course for the patient.
The Ceribell Status Epilepticus Monitor is intended for diagnosis of Electrographic Status Epilepticus only. The device does not substitute for the review of the underlying EEG by a qualified clinician with respect to any other types of pathological EEG patterns. The device is not intended for use in Epilepsy Monitoring Units.
Type of Use (*Select one or both, as applicable*)
| <div> <input checked="true" type="checkbox"/> <span>Prescription Use (Part 21 CFR 801 Subpart D)</span> </div> |
|----------------------------------------------------------------------------------------------------------------|
| <div> <input type="checkbox"/> <span>Over-The-Counter Use (21 CFR 801 Subpart C)</span> </div> |
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# 510(k) Summary
This summary of 510(k)-safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR 807.92.
## Applicant Information:
Ceribell, Inc. 360 N Pastoria Ave Sunnyvale, CA 94085
## Contact Person:
Raymond Woo, Ph.D. CTO Telephone: (650) 556-4349 E-mail: ray@ceribell.com
## Subject Device Information:
| Trade Name: | Ceribell Status Epilepticus Monitor |
|----------------------|---------------------------------------------------------------------------|
| Classification Name: | Electroencephalograph |
| Device Class: | II; 21 CFR 882.1400 |
| Product Code: | OMB |
| OMB Device: | Automatic Event Detection Software for Full-Montage Electroencephalograph |
## Predicate Device:
K191301 Ceribell Pocket EEG Device 882.1400, OMB (automatic event detection software for full-montage electroencephalograph), OMC, GWO
## Date Prepared:
May 18, 2023
## Device Description:
The Ceribell Status Epilepticus Monitor is a software as medical device that analyzes EEG waveforms for the intended use of recognizing electrographic status epilepticus (ESE). The subject device software is intended for use only with the Ceribell Pocket EEG Device (K191301), which is also the predicate device. The predicate device contains a software module that performs detection of seizures in a similar manner as the subject device. The user workflow and instructions for starting an EEG recording on a patient are unchanged compared to the predicate device.
The user places the Ceribell Instant EEG Headband (K210805) on the patient, the headband contains 10 electrodes that are arranged in a bipolar montage and correspond to the following locations following the
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10-20 electrode naming convention: Fp1, F7, T3, T5, O1, Fp2, F8, T3, T6, O2. The 10 electrodes form 8 channels (4 on the left hemisphere, 4 on the right hemisphere) that are analyzed by the subject device's ESE detection algorithm. The American Clinical Neurophysiology Society's (ACNS) Guideline 14 ("Standardized Critical Care EEG Terminology: 2021 Edition") defines ESE as follows:
> ESE is defined as an ESz [electrographic seizure] for ≥ 10 continuous minutes or for a total duration of ≥ 20% of any 60-minute period of recording.
By definition, ESE is a finding that is based solely on the characteristics of the subject's EEG waveforms. The are no other clinical considerations or sources of clinical information that are used in the determination of ESE. The subject device is intended for use in the recognition of ESE in acute care environments only. The absence of a detection of ESE by the subject device does not preclude the possibility that seizures, other epileptiform patterns, or other pathologies are present in the EEG recording. The device does not substitute for the review of the underlying EEG by a qualified clinician with respect to any other types of pathological EEG patterns.
#### Intended Use
The Ceribell Status Epilepticus Monitor is a software as medical device that is intended to analyze EEG recordings captured with the Ceribell Pocket EEG Device and the Ceribell Instant EEG Headband and diagnose electrographic status epilepticus in patients greater than or equal to 18 years of age who are at risk for seizure. The software analyzes EEG waveforms and identifies patterns that may be consistent with electrographic status epilepticus as defined in the American Clinical Neurophysiology Society's Guideline 14.
The diagnostic output of the Ceribell Status Epilepticus Monitor is intended to be used as an aid for determining patient treatment in acute-care environments. The device's diagnosis of Electrographic Status Epilepticus provides one input to the clinician that is intended to be used in conjunction with other elements of clinical practice to determine the appropriate treatment course for the patient.
The Ceribell Status Epilepticus Monitor is intended for diagnosis of Electrographic Status Epilepticus only. The device does not substitute for the review of the underlying EEG by a qualified clinician with respect to any other types of pathological EEG patterns. The device is not intended for use in Epilepsy Monitoring Units.
## Comparison of Intended Use and Technological Characteristics with the Predicate Device:
The subject device is substantially equivalent to the seizure detection module of the predicate device in terms of intended use, operating principles, and design. The subject device and predicate devices both contain algorithms to detect electrographic seizures, and in both the subject device and predicate device the design of the electrographic seizure detection is the subject device additionally processes the electrographic seizure detections to make a determination regarding ESE. The ESE determination serves as the final output of the subject device output is binary: ESE is either detected or not detected.
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| Attribute | Subject Device | Predicate Device |
|-----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Ceribell Status Epilepticus Monitor | Ceribell Pocket EEG Device (K191301) |
| Intended Use | The Ceribell Status Epilepticus Monitor is a software as<br>medical device that is intended to analyze EEG recordings<br>captured with the Ceribell Pocket EEG Device and the<br>Ceribell Instant EEG Headband and diagnose<br>electrographic status epilepticus in patients greater than<br>or equal to 18 years of age who are at risk for seizure. The<br>software analyzes EEG waveforms and identifies patterns<br>that may be consistent with electrographic status<br>epilepticus as defined in the American Clinical<br>Neurophysiology Society's Guideline 14.<br><br>The diagnostic output of the Ceribell Status Epilepticus<br>Monitor is intended to be used as an aid for determining<br>patient treatment in acute-care environments. The<br>device's diagnosis of Electrographic Status Epilepticus<br>provides one input to the clinician that is intended to be<br>used in conjunction with other elements of clinical practice<br>to determine the appropriate treatment course for the<br>patient.<br><br>The Ceribell Status Epilepticus Monitor is intended for<br>diagnosis of Electrographic Status Epilepticus only. The<br>device does not substitute for the review of the underlying<br>EEG by a qualified clinician with respect to any other types<br>of pathological EEG patterns. The device is not intended<br>for use in Epilepsy Monitoring Units. | The Ceribell Pocket EEG Device is a portable EEG monitoring<br>system that records, stores and presents EEG signals in<br>visual and audible formats in real time. The visual and<br>audible signals assist trained medical staff to make<br>neurological diagnoses. The Pocket EEG Device EEG<br>Recording Viewer software incorporates a seizure detection<br>component is intended to analyze EEG recordings captured<br>with the Ceribell Pocket EEG Device and identify areas that<br>may correspond to electrographic seizures in patients<br>greater or equal to 18 years of age. The Pocket EEG Device<br>seizure detection module is not intended to provide clinical<br>conclusions about the subject's condition and the output of<br>the seizure detection module is intended to be used by<br>qualified clinical practitioners in coordination with other<br>clinical observations. |
| Indications for<br>Use | The Ceribell Status Epilepticus Monitor software is<br>indicated for the diagnosis of Electrographic Status<br>Epilepticus in patients greater than or equal to 18 years of<br>age who are at risk for seizure. The Ceribell Status<br>Epilepticus Monitor software analyzes EEG waveforms and<br>identifies patterns that may be consistent with<br>electrographic status epilepticus as defined in the<br>American Clinical Neurophysiology Society's Guideline 14.<br><br>The diagnostic output of the Ceribell Status Epilepticus<br>Monitor is intended to be used as an aid for determining<br>patient treatment in acute-care environments. The<br>device's diagnosis of Electrographic Status Epilepticus<br>provides one input to the clinician that is intended to be<br>used in conjunction with other elements of clinical practice<br>to determine the appropriate treatment course for the<br>patient.<br><br>The Ceribell Status Epilepticus Monitor is intended for<br>diagnosis of Electrographic Status Epilepticus only. The<br>device does not substitute for the review of the underlying<br>EEG by a qualified clinician with respect to any other types<br>of pathological EEG patterns. The device is not intended<br>for use in Epilepsy Monitoring Units. | The Ceribell Pocket EEG Device is intended to record and<br>store EEG signals, and to present the EEG signals in visual<br>and audible formats in real time. The visual and audible<br>signals assist trained medical staff to make neurological<br>diagnoses. The Pocket EEG Device is intended to be used in<br>a professional healthcare facility environment.<br><br>Additionally, the EEG Recording Viewer Software<br>component of the Pocket EEG Device incorporates a Seizure<br>Detection component that is intended to mark previously<br>acquired sections of EEG recordings in patients greater than<br>or equal to 18 years of age that may correspond to<br>electrographic seizures in order to assist qualified clinical<br>practitioners in the assessment of EEG traces. The Seizure<br>Detection component provides notifications to the user<br>when detected seizure prevalence is "Frequent,"<br>"Abundant," or "Continuous," per the definitions of the<br>American Clinical Neurophysiology Society Guideline 14.<br>Notifications include an on-screen display on the Pocket EEG<br>Device and the optional sending of an e-mail message to a<br>clinician. Delays of up to several minutes can occur between<br>the beginning of a seizure and when the Seizure Detection<br>notifications will be shown to a user.<br><br>The Pocket EEG Device does not provide any diagnostic<br>conclusion about the subject's condition and Seizure<br>Detection notifications cannot be used as a substitute for<br>real time monitoring of the underlying EEG by a trained<br>expert. |
| Intended User | Qualified healthcare professional | Qualified healthcare professional |
| Attribute | Subject Device | Predicate Device |
| | Ceribell Status Epilepticus Monitor | Ceribell Pocket EEG Device (K191301) |
| Intended<br>Patient<br>population | Patients greater or equal to 18 years of age. | All ages. The seizure detection module is intended only for<br>patients greater or equal to 18 years of age. |
| Intended<br>Location of Use | Acute-care environments within professional healthcare<br>facilities | Professional healthcare facility |
#### Table 1. Comparison between the subject device and predicate device.
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#### Performance Data:
Bench-top verification testing was performed on the subject device. The verification tests were completed in accordance with relevant standards and pre-approved protocols to evaluate the safety and performance of the subject device, and all tests were passed.
Table 2. Summary of bench-top verification testing.
| Test Description | Acceptance Criteria | Test Results |
|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|-------------------|
| ESE Monitor System Level Test:<br>Integration and system level test that verifies<br>and validates the processing of ESE data and the<br>display of ESE output (ESE detected/ESE not<br>detected). | Various functional acceptance criteria<br>based on the expected behavior of the<br>system. | All tests passed. |
| Regression Testing:<br>Per the V&V Summary Report, several test<br>protocols were executed to ensure that the<br>Status Epilepticus Monitor did not have any<br>unexpected effect or cause unintended<br>regressions with the underlying Pocket EEG<br>Device software.<br><br>Because these test reports do not directly verify<br>any of the subject device software<br>requirements, all of these regression test<br>reports are combined into a single appendix for<br>simplicity. | Various functional acceptance criteria<br>based on the expected behavior of the<br>system. | All tests passed. |
#### Clinical Testing
A retrospective clinical validation study was performed by analyzing the subject device algorithm's performance using previously-collected EEG data. The objective of the study design was to obtain a dataset that is representative of the intended patient population, and this was accomplished by using real-world data. The methodology of data collection was as follows:
- For each of 6 hospitals of varying size and geographic location: .
- Collect all clinically performed Ceribell EEGs from a fixed one-year time period o
- Exclude any EEGs from patients < 18 years of age O
- There were no other inclusion or exclusion criteria applied O
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- . Categorize each subject as ESE-positive or ESE-negative by having a team of qualified neurologists independently review and categorize each EEG; the ground-truth reference standard is established by a majority opinion of the expert reviewers
This data collection method resulted in a dataset of 350 subjects representative of the intended patient population. The demographic distribution of the subjects is shown in the following tables.
| Subject Age (years) | Included<br>Subjects | Excluded<br>Subjects | Percent of Total<br>Included Subjects |
|-----------------------------------|----------------------|----------------------|---------------------------------------|
| < 18 | 0 | 3 | N/A |
| 18-20 | 4 | 0 | 1% |
| 21-30 | 14 | 0 | 4% |
| 31-40 | 23 | 0 | 7% |
| 41-50 | 40 | 0 | 11% |
| 51-60 | 39 | 0 | 11% |
| 61-70 | 79 | 0 | 23% |
| 71-80 | 63 | 0 | 18% |
| 81-90 | 73 | 0 | 21% |
| >90 | 15 | 0 | 4% |
| Total: | 350 | 3 | |
| Mean Age of Included<br>Subjects: | 65.3 | | |
Table 3. Validation dataset age demographics showing included and excluded subjects.
#### Table 4. Distribution of patient gender in the validation dataset.
| Subject Gender | N | Percent of<br>Total |
|----------------|-----|---------------------|
| Male | 188 | 54% |
| Female | 162 | 46% |
| Total: | 350 | |
The expert neurologist review of the EEGs resulted in a reference-standard dataset that included 10 ESEpositive subjects out of the 350 total subjects. The ESE-negative cases were further subdivided into ESEnegative cases that contained seizure and/or other epileptiform activity versus ESE-negative cases that do not contain any epileptiform activity. This categorization of the ESE-negative cases is only for data analysis and benefit-risk analysis purposes. The output of the subject device is only ESE-positive or ESEnegative.
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| Ground-Truth Classification | N |
|-----------------------------------------------------------------------|-----|
| ESE-positive | 10 |
| ESE-negative: contains seizures and/or<br>other epileptiform activity | 94 |
| ESE-negative: does not contain any<br>epileptiform activity | 246 |
| Total: | 350 |
#### Table 5. Expert neurologist reference standard categorization of the validation dataset.
After the clinical validation dataset was compiled, the subject device algorithm was run on the dataset and the results compared to the reference-standard. The resulting sensitivity was 100% and the specificity was 94%. There were 10 true-positive detections and 0 false-negative detections (100% sensitivity). There were 319 true-negative detections and 21 false-positive detections (94% specificity). Of the 21 falsepositive detections, 19 were determined by the expert reviewers to contain seizures or other epileptiform activity.
Because the algorithm performed with 100% sensitivity in a small sample size of 10 ESE true-positive detections, there are limitations to the utility of calculating 95% confidence interval using the BCa Bootstrap method (as was done with the predicate device). As a result, two additional confidence interval calculation methods were also applied: the Wilson interval and the Jeffreys interval.
Table 6. Sensitivity and specificity results of the clinical performance validation along with the 95% confidence interval computed with three different methodologies.
| | Result | 95% Confidence<br>Interval<br>BCa Bootstrap | 95% Confidence<br>Interval<br>Wilson | 95% Confidence<br>Interval<br>Jeffreys |
|-------------|--------|---------------------------------------------|--------------------------------------|----------------------------------------|
| Sensitivity | 100% | [100%, 100%] | [72%, 100%] | [78%, 100%] |
| Specificity | 94% | [91%, 96%] | [91%, 96%] | [91%, 96%] |
#### Benefit Risk Analysis
Analysis of the benefits and risks of the subject device is performed according to the FDA guidance document "Benefit-Risk Factors to Consider When Determining Substantial Equivalence in Premarket Notifications (510(k)) with Different Technological Characteristics." (September 2018). Ceribell believes that the submitted performance validation data clearly demonstrates significant benefit of the subject device due to the magnitude and the probability of the benefit of faster diagnosis of ESE. At the same time, the identified risks of the subject device are of low probability and low severity, post-mitigation.
The greatest benefits of the subject device are specifically tied to the intended use of diagnosing electrographic status epilepticus. The maximum benefit of the subject device occurs when ESE is recognized and diagnosed during the time prior to the availability of a qualified neurologist to perform a
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full review of the underlying EEG. Initiation of treatment for Status Epilepticus is highly time sensitive, yet in the standard-of-care workflow it can take 12-24 hours just to get the EEG read by a qualified neurologist. The diagnosis of ESE provided by the subject device allows administration of first-line antiseizure medications (ASMs) and initiation of other time-sensitive actions to be performed as quickly and as accurately as possible by the intensivist and other members of the bedside critical care team. At the same time, the subject device does not replace the full review of the underlying EEG by a qualified neurologist because pathologies other than ESE may be present in the EEG.
Risks of the subject device can be categorized into risks associated with false-positive detections, falsenegative detections, device malfunctions, or device misuse. In general, these risks are all low in part due to the fact that in all potential cases of failure of the subject device, the patient remains no worse off compared to the current standard-of-care, where the intensive care physician is forced to make a treatment decision without having EEG data available.
Table 7 and Table 8 on the following pages provide a detailed analysis of the benefits and risks of the subject device.
#### Conclusion:
The performance demonstrated in the clinical validation study clearly demonstrate that the benefits of the subject device outweigh the risks.
The Ceribell Status Epilepticus Monitor has the same intended use as the predicate devices. In addition, it has similar technological characteristics and performance data demonstrates that any differences in technological characteristics do not raise different questions of safety or effectiveness. Therefore, the Ceribell Status Epilepticus Monitor is substantially equivalent to the cleared predicate device.
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#### Table 7. Benefits analysis of the subject device.
| Benefits | Magnitude of Benefit | Probability of Benefit | Overall Benefit<br>Evaluation |
|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------|-------------------------------|
| Patient with ESE is treated with<br>ASMs 12-24 hours faster<br>compared to the current<br>standard-of-care when the<br>subject device correctly<br>identifies that ESE is present. | High<br>As discussed above, early<br>identification and treatment of ESE is<br>associated with significantly lower<br>morbidity and mortality. | High<br>The subject device was 100%<br>sensitive to ESE in the performance<br>validation study. | High |
| Patient without ESE avoids<br>unnecessary treatment with<br>ASMs when the subject device<br>correctly determines that ESE is<br>not present. | Low<br>Ruling out ESE may avoid<br>unnecessary patient treatment.<br>However, this benefit is "low"<br>because the use of ASMs in hospital<br>environments is commonplace and<br>carries relatively low risk because of<br>the clinicians' familiarity with<br>management of these medications. | High<br>The performance validation study<br>showed that the subject device had<br>94% specificity. | Low |
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#### Table 8. Risks analysis of the subject device.
| Risk | Severity | Mitigations | Risk Probability (post-mitigation) | Overall Risk<br>Evaluation |
|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------|
| False-positive:<br>Subject device<br>diagnoses ESE when<br>ESE is not present.<br><br>Patient is treated with<br>ASMs even though<br>they are not in status<br>epilepticus | Moderate<br>The use of ASMs in<br>controlled hospital<br>environments (with or<br>without confirmation of<br>seizures through EEG) is<br>commonplace and<br>carries relatively low risk<br>because of the clinicians'<br>familiarity with<br>management of these<br>medications. As with any<br>sedative medication,<br>there is risk of over-<br>sedation. | • The subject device is designed such<br>that the majority of "false-positive"<br>cases still contain seizures or other<br>abnormal epileptiform patterns. In<br>these cases, treatment with ASMs<br>may still be beneficial to the<br>patient.<br>• Full review of the EEG by a qualified<br>neurologist (potentially 12-24 hours<br>later) may determine that ASM<br>treatment can be discontinued. | Low<br>The performance validation study results<br>showed there were 21 "false positives"<br>out of 350 cases (6%) and 19 of the 21<br>"false-positive" cases (90.5%) still<br>contained seizures or other epileptiform<br>patterns where treatment with ASMs<br>may still have been beneficial. | Low |
| False-negative:<br>Subject device fails to<br>diagnose ESE when<br>ESE is present<br>Treatment with ASMs<br>is delayed. | High<br>Delayed treatment of<br>status epilepticus results<br>in worse outcomes.<br>However, this scenario is<br>equivalent to the<br>current standard-of-<br>care. | • The subject device is designed to be<br>highly sensitive to minimize the risk<br>of "false-negative" cases.<br>• The intensivist may still elect to<br>treat the patient with ASMs based<br>on other clinical observations; the<br>EEG will still be reviewed by a<br>qualified neurologist - the patient is<br>no worse off than they would have<br>been in the current standard-of<br>care without the subject device. | Low<br>The performance validation study<br>showed that the subject device was<br>100% sensitive to ESE. | Low |
| Risk | Severity | Mitigations | Risk Probability (post-mitigation) | Overall Risk<br>Evaluation |
| Device malfunction:<br>Subject device fails to<br>provide output. | Low<br>The user can revert to<br>the current standard-of-<br>care practice | • The subject device alerts the user if<br>the ESE detected/not-detected<br>output is not available. The user can<br>revert to the current standard-of-<br>care without the subject device<br>output. | Low<br>Verification and validation testing<br>confirm that the subject device meets its<br>design requirements. | Low |
| Device misuse:<br>User incorrectly<br>utilizes the output of<br>the subject device<br>(i.e., uses the device<br>output to make<br>clinical determinations<br>outside of the<br>diagnosis of ESE). | Moderate<br>Depending on the<br>patient's condition, this<br>may involve over-<br>treatment or delayed-<br>treatment with ASMs. | • The subject device is only capable<br>of providing a binary diagnostic<br>output of ESE detected/ESE not-<br>detected. A qualified neurologist<br>must review the EEG for other<br>possible abnormal epileptiform<br>findings – this limits the potential<br>for device misuse.<br>• The use of ASMs in controlled<br>hospital environments (with or<br>without confirmation of seizures<br>through EEG) is commonplace and<br>carries relatively low risk because of<br>the clinicians' familiarity with<br>management of these medications.<br>As with any sedative medication,<br>there is risk of over-sedation. | Low | Low |
{12}------------------------------------------------
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.