K243520 · Turing Medical Technologies, Inc. · QQC · Mar 28, 2025 · Neurology
Device Facts
Record ID
K243520
Device Name
Bullsai Confirm
Applicant
Turing Medical Technologies, Inc.
Product Code
QQC · Neurology
Decision Date
Mar 28, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.5855
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
Bullsai Confirm provides functionality to assist medical professionals in planning the programming of stimulation for patients receiving approved Abbott deep brain stimulation (DBS) devices.
Device Story
Bullsai Confirm assists clinicians in planning DBS programming by visualizing Volume of Tissue Activated (VTA) relative to patient anatomy. Input: DICOM MRI/CT images from PACS; preoperative planning outputs (tractography, structural ROIs) from AWS S3. Operation: Clinicians upload images, navigate 2D/3D reconstructions, position Abbott DBS lead models, and input stimulation settings. Processing: Mathematical combination of finite element (FE) electric field model of lead with axon-based neural activation model to calculate VTA. Output: Visualized VTA field in web-based interface; PDF report with input image quality assessments. Benefit: Enables patient-specific stimulation planning; aids clinical decision-making regarding electrode configuration. Used in clinical settings by medical professionals.
Clinical Evidence
Bench testing only. Includes software verification and validation, hazard analysis, formative usability testing, and technical performance evaluation of lead artifact detection and image registration.
Technological Characteristics
Web-based software for DBS programming planning. Inputs: DICOM MRI/CT, AWS S3 data. Processing: Finite element (FE) electric field model combined with axon-based neural activation model. Outputs: VTA visualization, PDF reports. Connectivity: PACS (DICOM), AWS S3 cloud storage. Software: Web-based interface.
Indications for Use
Indicated for medical professionals planning stimulation programming for patients receiving approved Abbott deep brain stimulation (DBS) devices.
Regulatory Classification
Identification
The brain stimulation programming planning software is a prescription device intended to assist in planning stimulation programming for implanted brain stimulators.
Special Controls
In combination with the general controls of the FD&C Act, the brain stimulation programming planning software is subject to the following special controls:
- 1. Software verification, validation, and hazard analysis must be performed
- 2. Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.
- 3. Labeling must include:
- a. The implanted brain stimulators for which the device is compatible.
- b. Instructions for use.
- c. Instructions and explanations of all user-interface components.
- d. A warning regarding use of the data with respect to not replacing clinical judgement.
*Classification.* Class II (special controls). The special controls for this device are:(1) Software verification, validation, and hazard analysis must be performed.
(2) Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.
(3) Labeling must include:
(i) The implanted brain stimulators for which the device is compatible.
(ii) Instructions for use.
(iii) Instructions and explanations of all user-interface components.
(iv) A warning regarding use of the data with respect to not replacing clinical judgment.
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Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA logo on the right. The FDA logo is a blue square with the letters "FDA" in white, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue.
March 28, 2025
Turing Medical Technologies, Inc. Christa Nova Director of Quality Assurance and Regulatory Affairs 393 N Euclid Ave Suite 310 Saint Louis, Missouri 63108
Re: K243520
Trade/Device Name: Bullsai Confirm Regulation Number: 21 CFR 882.5855 Regulation Name: Brain Stimulation Programming Planning Software Regulatory Class: Class II Product Code: OOC Dated: March 14, 2025 Received: November 15, 2024
Dear Christa Nova:
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 (the 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 available 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.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
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(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review. the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rue"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advicecomprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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 mediation-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).
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Sincerely,
# Jitendra V. Virani -S
CDR Jitendra Virani Assistant Director DHT5B: Division of Neuromodulation and Physical Medicine 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
Form Approved: OMB No. 0910-0120 Expiration Date: 07/31/2026 See PRA Statement below.
Submission Number (if known)
K243520
Device Name
Bullsai Confirm
Indications for Use (Describe)
Bullsai Confirm provides functionality to assist medical professionals in planning the programming of stimulation for patients receiving approved Abbott deep brain stimulation (DBS) devices.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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## 510(k) Summary
| Device Trade Name: | Bullsai Confirm |
|--------------------|-------------------------------------------------------------------------------------------------------------|
| Manufacturer: | Turing Medical Technologies, Inc.<br>393 N EUCLID AVE STE 310,<br>SAINT LOUIS, MISSOURI 63108 UNITED STATES |
| Contact: | Christa Nova<br>Director, QARA<br>419-388-3288 |
| Date Prepared: | March 28, 2025 |
| Classification: | Brain stimulation programming planning software, 21 CFR<br>882.5855 |
| Class: | II |
| Product Code: | QQC |
| Primary Predicate: | SureTune4 Software, DEN210003 |
#### Indications For Use:
Bullsai Confirm provides functionality to assist medical professionals in planning the programming of stimulation for patients receiving approved Abbott deep brain stimulation (DBS) devices.
#### Device Description:
Bullsai Confirm is intended to assist medical professionals in planning the programming of deep brain stimulation (DBS) by visualizing the Volume of Tissue Activated (VTA) relative to patient anatomy. It is used to visualize patient-specific information within the patient's anatomy. Integrated magnetic resonance imaging (MRI) and computed tomography (CT) images are uploaded to Bullsai Confirm and can be navigated through in multiple 2D projections and 3D reconstructions. Abbott DBS lead models are positioned in the corresponding artifacts and potential stimulation settings and electrode configurations entered. Bullsai Confirm mathematically combines finite element (FE) based electric field model of the lead with an axon based neural activation model to translate potential stimulation settings and electrode configurations into a visualized VTA field to indicate the shape and the area or volume of anatomy that will be activated by the stimulation. Results, including input image quality assessments, are shared in an output PDF report and visualized in a web-based software interface.
Bullsai Confirm is used to do the following:
- Import DICOM images from a picture archiving and communication system (PACS), including . MRI and CT DICOM images.
- . Import preoperative planning outputs (including tractography, structural ROIs, etc.) from AWS S3 Cloud Storage
- . Combine MR images, CT images, and patient specific 3D structures for more detail
- Localize graphical compatible DBS lead models (based on preoperative imaging) .
- . Visualize VTA fields relative to structures of interest in the patient anatomy or lead position
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The software provides a workflow for clinicians to:
- Create patient-specific stimulation plans for DBS programming .
- . Export reports that summarize stimulation plans for patients (PNG screenshot)
#### Predicate Device:
Turing Medical Technologies, Inc. submits the following information in this Premarket Notification to demonstrate that, for the purposes of FDA's regulation of medical devices, Bullsai Confirm is substantially equivalent in indications, design principles, and performance to the following predicate device.
Primary Predicate: SureTune4 Software (DEN210003)
| Item | Predicate:<br>SureTune4<br>Software<br>DEN210003 | Subject Device:<br>Bullsai Confirm | Comparison |
|-----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Classification | Class II | Class II | Identical |
| Product Code | QQC | QQC | Identical |
| Device<br>Description | The SureTune4 Software is<br>intended to assist medical<br>professionals in planning the<br>programming of deep brain<br>stimulation (DBS) by<br>visualizing the Volume of<br>Neural Activation (VNA)<br>relative to patient anatomy. It<br>is used to visualize patient-<br>specific information within the<br>patient's anatomy. Integrated<br>preoperative and<br>postoperative magnetic<br>resonance imaging (MRI), O-<br>armTM, and computed<br>tomography (CT) images are<br>uploaded to SureTune4 and<br>can be navigated through in<br>multiple 2D projections and 3D<br>reconstructions. Medtronic<br>DBS lead models are<br>positioned in the<br>corresponding artifacts and<br>potential stimulation settings<br>and electrode configurations<br>entered. The SureTune4<br>Software mathematically<br>combines finite element (FE)<br>based electric field model of<br>the lead with an axon based<br>neural activation model to | Bullsai Confirm is intended to<br>assist medical professionals<br>in planning the programming<br>of deep brain stimulation<br>(DBS) by visualizing the<br>Volume of Tissue Activated<br>(VTA) relative to patient<br>anatomy. It is used to<br>visualize patient-specific<br>information within the patient's<br>anatomy. Integrated<br>magnetic resonance imaging<br>(MRI) and computed<br>tomography (CT) images are<br>uploaded to Bullsai Confirm<br>and can be navigated through<br>in multiple 2D projections and<br>3D reconstructions.<br>Abbott DBS lead models are<br>positioned in the<br>corresponding artifacts and<br>potential stimulation settings<br>and electrode configurations<br>entered. Bullsai Confirm<br>mathematically combines<br>finite element (FE) based<br>electric field model of the lead<br>with an axon based neural<br>activation model to translate<br>potential stimulation settings<br>and electrode configurations | Similar;<br>1) Bullsai Confirm<br>does not import or<br>combine O-arm™<br>images.<br>2) Bullsai Confirm<br>does not import from<br>physical media.<br>3) Bullsai Confirm<br>shares results,<br>including input image<br>quality assessments,<br>in an output PDF<br>report and visualized<br>in a web-based<br>software interface.<br>4) Bullsai Confirm<br>does not enter<br>electrophysiological<br>annotations.<br>5) Bullsai Confirm<br>does not superimpose<br>an anatomical atlas.<br>6) Bullsai Confirm<br>does not manually<br>segment structures of |
| | translates potential stimulation<br>settings and electrode<br>configurations into a visualized<br>VNA field to indicate the<br>shape and the area or volume<br>of anatomy that will be<br>activated by the stimulation.<br><br>The SureTune4 software is<br>used to do the following:<br>• Import MR, O-armTM, and<br>CT patient images over a<br>DICOM network or from<br>physical media (hard<br>drive, USB drive, CD, or<br>DVD)<br>• Import DICOM archives<br>from StealthStationTM<br>S7TM systems with<br>Cranial 3.x software and<br>StealthStationTM S8<br>Cranial software systems,<br>and SureTune4 systems<br>over a DICOM network<br>• Combine MR, O-armTM<br>and CT images for more<br>detail<br>• Superimpose an<br>anatomical atlas to better<br>understand the position of<br>structures of interest<br>relative to a patient's<br>anatomy<br>• Manually segment<br>structures of interest to<br>highlight particular brain<br>structures<br>• Localize graphical<br>Medtronic DBS lead<br>models (based on<br>preoperative imaging)<br>• Enter electrophysiological<br>annotations<br>• Visualize VNA fields<br>relative to structures of<br>interest in the patient<br>anatomy or lead position<br>• Create patient-specific<br>stimulation plans for DBS<br>programming<br>• Generate reports that<br>summarize stimulation<br>plans for patients<br>• Export patient sessions to<br>SureTune4 XLS<br>spreadsheets (in<br>MicrosoftTM Excel format) | into a visualized VTA field to<br>indicate the shape and the<br>area or volume of anatomy<br>that will be activated by the<br>stimulation. Results, including<br>input image quality<br>assessments, are shared in<br>an output PDF report and<br>visualized in a web-based<br>software interface.<br><br>Bullsai Confirm is used to do<br>the following:<br>• Import DICOM images from<br>a picture archiving and<br>communication system<br>(PACS), including MRI and<br>CT DICOM images.<br>• Import preoperative<br>planning outputs (including<br>tractography, structural<br>ROIs, etc.) from AWS S3<br>Cloud Storage<br>• Combine MR images, CT<br>images, and patient specific<br>3D structures for more<br>detail<br>• Localize graphical<br>compatible DBS lead<br>models (based on<br>preoperative imaging)<br>• Visualize VTA fields relative<br>to structures of interest in<br>the patient anatomy or lead<br>position<br><br>The software provides a<br>workflow for clinicians to:<br>• Create patient-specific<br>stimulation plans for DBS<br>programming<br>• Export reports that<br>summarize stimulation<br>plans for patients (PNG<br>screenshot) | interest to highlight<br>particular brain<br>structures. |
| Indication for Use | The SureTune4 Software is indicated to assist medical professionals in planning the programming of stimulation for patients receiving approved Medtronic deep brain stimulation (DBS) devices. | Bullsai Confirm provides functionality to assist medical professionals in planning the programming of stimulation for patients receiving approved Abbott deep brain stimulation (DBS) devices. | Similar |
#### Substantial Equivalence:
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Bullsai Confirm is substantially equivalent to the identified predicate (legally marketed) device. Bullsai Confirm has the same intended use and technological characteristics as the predicate device and or different intended use and technological characteristics that do not raise different questions of safety and effectiveness.
At a high level, Bullsai and predicate device are based on the following same elements:
- Bullsai Confirm is intended to assist medical professionals in planning the programming of . deep brain stimulation (DBS).
- Bullsai Confirm visualizes neural activation tissue through Volume of Tissue Activated (VTA). •
- Bullsai Confirm visualizes relative to patient anatomy.
- Bullsai Confirm is used to visualize patient-specific information within the patient's anatomy.
- . Bullsai Confirm imports preoperative and postoperative MR and CT images.
- Bullsai Confirm displays integrated preoperative and postoperative MR and CT images.
- Bullsai Confirm accepts uploaded images which can be navigated through in multiple 2D projections and 3D reconstructions.
- . Bullsai Confirm positions DBS lead models in the corresponding artifacts, and potential stimulation settings and electrode configurations are displayed.
- . Bullsai Confirm mathematically combines finite element (FE) based electric field model of the lead with an axon based neural activation model to translates potential stimulation settings and electrode configurations into a visualized field to indicate the shape and the area or volume of anatomy that will be activated by the stimulation.
- . Bullsai Confirm imports patient images.
- Bullsai Confirm uses DICOM networks (PACS). •
- Bullsai Confirm uses DBS lead models. •
- Bullsai Confirm combines images for more detail.
- Bullsai Confirm localizes graphical DBS lead models based on preoperative imaging.
- . Bullsai Confirm visualizes fields relative to structures of interest in the patient anatomy or lead position.
- . Bullsai Confirm provides a workflow for clinicians to create and export patient-specific summary stimulation plans.
At a high level, Bullsai Confirm and predicate device have the following different elements:
- Bullsai Confirm does not import or combine O-arm™ images. .
- Bullsai Confirm does not import from physical media.
- Bullsai Confirm shares results, including input image quality assessments, in an output PDF . report and visualized in a web-based software interface.
- Bullsai Confirm does not enter electrophysiological annotations.
- . Bullsai Confirm does not superimpose an anatomical atlas.
- Bullsai Confirm does not manually segment structures of interest to highlight particular brain ● structures.
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#### Performance Data:
The subject device meets the special controls under 21 CFR 882.5855 for brain stimulation programming planning software, which include the following:
- 1. Software verification, validation, and hazard analysis must be performed.
- 2. Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.
- 3. Labeling must include:
- a. The implanted brain stimulators for which the device is compatible.
- b. Instructions for use.
- c. Instructions and explanations of all user-interface components.
- d. A warning regarding use of the data with respect to not replacing clinical judgement.
A hazard analysis and software verification and validation testing were performed for Bullsai Confirm. Bullsai Confirm also underwent formative usability testing and technical performance evaluation of the lead artifact detection and registration between image types. The User Manual for Bullsai Confirm contains the labeling statements in accordance with the special controls.
#### Conclusion:
The subject device and the predicate devices have the same intended use and have similar technological characteristics. The data included in this submission demonstrates substantial equivalence to the predicate device listed above.
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.