K253021 · Sibel Health, Inc. · HGM · Feb 26, 2026 · Obstetrics/Gynecology
Device Facts
Record ID
K253021
Device Name
ANNE Maternal
Applicant
Sibel Health, Inc.
Product Code
HGM · Obstetrics/Gynecology
Decision Date
Feb 26, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 884.2740
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
K253021 · Feb 26, 2026
ANNE Maternal
Sibel Health, Inc.
Retrospective observational cohort study (electronic medical records); Prospective observational validation study (clinical admissions data)
The sponsor utilized published clinical literature containing retrospective and prospective observational data to validate the performance and clinical utility of the integrated MEOWS (Modified Early Obstetric Warning System) tool.
MEOWS; Obstetric morbidity; Clinical deterioration; Retrospective cohort; Observational study
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients; Retrospective observational cohort study; Follow-up/Duration: 10-year period (Nov 2008 - Dec 2018); Study Period: 2008-2018
19,611 patients hospitalized on obstetric units (antepartum and postpartum); Sample Size: 19,611; Number of Sites: 1
Five other early warning tools (two general, two other obstetric-specific, one machine learning-based)
Clinical deterioration (ICU transfer and/or death); New infection
A validation study of the CEMACH recommended modified early obstetric warning system (MEOWS); Prospective observational validation study
676 obstetric (antepartum, intrapartum and postpartum) admissions; Sample Size: 676; Number of Sites: 1
Not applicable for this study
Sensitivity and specificity for predicting obstetric morbidity
Indications for Use
The ANNE® Maternal system is a perinatal monitoring platform intended for the continuous collection, display, and storage of physiological data and vital signs from compatible medical devices in clinical settings. The system supports data acquisition from sensors, clinician inputted data, and compatible software for maternal and fetal monitoring in singleton pregnancies. Examples of parameters include maternal vital signs (e.g. heart rate, respiratory rate, SpO2, blood pressure, temperature), fetal heart rate, and uterine contractions. The system provides both visual and audio alarms, alerts, and notifications at the bedside via a mobile device or a compatible central monitor. The ANNE® Maternal system is intended for use by qualified healthcare professionals. This device is intended for use by healthcare professionals to support clinical decision-making. All information provided by the system is intended to supplement, not replace, the judgement of medical professionals and is not intended to be the sole source of information for decision-making. The physiological parameters collected by the ANNE® Maternal system is inputted into the integrated electronic Modified Early Obstetric Warning System (MEOWS) tool, which provides information that can signal the need for prompt bedside evaluation by the health care provider. This information is intended as adjunctive information only and is not intended to replace or supersede the review of individual vital signs by qualified healthcare professionals. This information is intended to supplement, and not replace, the judgment of medical professionals and is not intended to be the sole source of information for decision-making.
Device Story
ANNE Maternal is a perinatal monitoring platform aggregating physiological data (maternal heart rate, respiratory rate, SpO2, blood pressure, temperature; fetal heart rate; uterine contractions) from compatible sensors and clinician inputs. Used in labor, delivery, and postpartum clinical settings by healthcare professionals. System displays data via mobile devices or central monitors; provides visual/audio alarms. Integrates data into an electronic Modified Early Obstetric Warning System (MEOWS) tool to signal need for bedside evaluation. Functions as an adjunctive decision-support tool; does not replace clinical judgment. Benefits include continuous monitoring and early warning of potential clinical deterioration, facilitating timely intervention.
Clinical Evidence
Bench testing included IEC 60601-1, 60601-1-2, 60601-2-27, 60601-2-47, 60601-1-8, ISO 80601-2-61, ISO 80601-2-56, and IEC 60601-2-37. Clinical evidence for MEOWS tool: 1) Prospective OUS study (n=676): sensitivity 89% (95% CI 81-95%), specificity 79% (95% CI 76-82%) for predicting obstetric morbidity. 2) Retrospective US cohort study (n=19,611): MEOWS AUC 0.74 for predicting clinical deterioration. 3) OUS pilot study (n=15): confirmed functional display of signals and MEOWS information.
Technological Characteristics
Perinatal monitoring platform; software-based data aggregation and display. Connectivity via Wi-Fi to Central Hub. Integrates physiological parameters into MEOWS tool. Complies with IEC 60601-1, 60601-1-2, 60601-2-27, 60601-2-47, 60601-1-8, ISO 80601-2-61, ISO 80601-2-56, IEC 60601-2-37, ISO 15223-1, IEC 62366-1, and IEC 62304.
Indications for Use
Indicated for continuous collection, display, and storage of physiological data and vital signs for maternal and fetal monitoring in singleton pregnancies in clinical settings. Intended for use by qualified healthcare professionals.
Regulatory Classification
Identification
A perinatal monitoring system is a device used to show graphically the relationship between maternal labor and the fetal heart rate by means of combining and coordinating uterine contraction and fetal heart monitors with appropriate displays of the well-being of the fetus during pregnancy, labor, and delivery. This generic type of device may include any of the devices subject to §§ 884.2600, 884.2640, 884.2660, 884.2675, 884.2700, and 884.2720. This generic type of device may include the following accessories: Central monitoring system and remote repeaters, signal analysis and display equipment, patient and equipment supports, and component parts.
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FDA U.S. FOOD & DRUG ADMINISTRATION
February 26, 2026
Sibel Health Inc.
Kevin Dwyer
Director of Quality and Regulatory Affairs
2017 N. Mendell St.
Chicago, Illinois 60614
Re: K253021
Trade/Device Name: ANNE Maternal
Regulation Number: 21 CFR 884.2740
Regulation Name: Perinatal Monitoring System and accessories
Regulatory Class: II
Product Code: HGM
Dated: September 19, 2025
Received: January 27, 2026
Dear Kevin Dwyer:
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" (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).
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 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 (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-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (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 Rule"). 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-advice-comprehensive-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-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the
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K253021 - Kevin Dwyer
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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-devices/device-advice-comprehensive-regulatory-assistance/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,
Monica D. Garcia -S
Monica D. Garcia, Ph.D.
Assistant Director
DHT3B: Division of Reproductive, Gynecology, and Urology Devices
OHT3: Office of Gastrorenal, ObGyn, General Hospital, and Urology Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
Indications for Use
Form Approved: OMB No. 0910-0120
Expiration Date: 06/30/2023
See PRA Statement below.
510(k) Number (if known)
K253021
Device Name
ANNE Maternal
Indications for Use (Describe)
The ANNE® Maternal system is a perinatal monitoring platform intended for the continuous collection, display, and storage of physiological data and vital signs from compatible medical devices in clinical settings. The system supports data acquisition from sensors, clinician inputted data, and compatible software for maternal and fetal monitoring in singleton pregnancies. Examples of parameters include maternal vital signs (e.g. heart rate, respiratory rate, SpO2, blood pressure, temperature), fetal heart rate, and uterine contractions. The system provides both visual and audio alarms, alerts, and notifications at the bedside via a mobile device or a compatible central monitor. The ANNE® Maternal system is intended for use by qualified healthcare professionals. This device is intended for use by healthcare professionals to support clinical decision-making. All information provided by the system is intended to supplement, not replace, the judgement of medical professionals and is not intended to be the sole source of information for decision-making.
The physiological parameters collected by the ANNE® Maternal system is inputted into the integrated electronic Modified Early Obstetric Warning System (MEOWS) tool, which provides information that can signal the need for prompt bedside evaluation by the health care provider. This information is intended as adjunctive information only and is not intended to replace or supersede the review of individual vital signs by qualified healthcare professionals.
This information is intended to supplement, and not replace, the judgment of medical professionals and is not intended to be the sole source of information for decision-making.
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)
CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
*DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
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FORM FDA 3881 (6/20)
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PSC Publishing Services (301) 443-6740
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SIBEL
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ANNE Maternal 510(k) Summary
# 510(k) Summary – K253021
# ANNE Maternal
## I. Submitter
Sibel Health
2017 N Mendell St. Suite 2SE
Chicago, IL 60614
Tel: (224) 251-8859
Official Correspondent: Kevin Dwyer, Director of QA/RA
Tel: (224) 251-8859
Date Prepared: 2/25/2026
## II. Device Information
Device Name/Trade Name: ANNE Maternal
Regulation Name: Perinatal monitoring system and accessories.
Regulation Number: 21 CFR §884.2740
Product Classification Code: HGM (System, Monitoring, Perinatal)
Additional Product Classification Codes: MSX, MWI, KMI, DRG
Regulatory Class: Class II
## III. Predicate Device
Trade Name: Sonicaid Team3
510(k) Number: K250777
Device Manufacturer: Huntleigh Healthcare Ltd
The predicate device has not been subject to a design-related recall.
## IV. Device Description
ANNE® Maternal software application is a perinatal monitoring platform that collects, displays, and
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ANNE Maternal 510(k) Summary
stores physiological data from compatible devices for noninvasive blood pressure, $\mathrm{SpO}_2$ , pulse rate, body temperature, fetal heart rate, and uterine activity.
Designed for use in clinical environments, including labor, delivery, and postpartum care, the platform operates with compatible software display systems such as ANNE® View and Central Hub. ANNE® Maternal integrates physiological parameters into early warning information, When connected to Wi-Fi, data is transmitted and stored to the Central Hub. The system provides both visual and audio alarms, alerts, and notifications. All vital signs are continuously displayed to the clinician, with all clinical decisions remaining the responsibility of the healthcare professional. ANNE® Maternal is intended for use exclusively by trained healthcare professionals following the Instructions for Use.
# V. Indications for Use
The ANNE® Maternal system is a perinatal monitoring platform intended for the continuous collection, display, and storage of physiological data and vital signs from compatible medical devices in clinical settings. The system supports data acquisition from sensors, clinician inputted data, and compatible software for maternal and fetal monitoring in singleton pregnancies. Examples of parameters include maternal vital signs (e.g. heart rate, respiratory rate, SpO2, blood pressure, temperature), fetal heart rate, and uterine contractions. The system provides both visual and audio alarms, alerts, and notifications at the bedside via a mobile device or a compatible central monitor. The ANNE® Maternal system is intended for use by qualified healthcare professionals. This device is intended for use by healthcare professionals to support clinical decision-making. All information provided by the system is intended to supplement, not replace, the judgement of medical professionals and is not intended to be the sole source of information for decision-making.
The physiological parameters collected by the ANNE® Maternal system is inputted into the integrated electronic Modified Early Obstetric Warning System (MEOWS) tool, which provides information that can signal the need for prompt bedside evaluation by the health care provider. This information is intended as adjunctive information only and is not intended to replace or supersede the review of individual vital signs by qualified healthcare professionals.
This information is intended to supplement, and not replace, the judgment of medical professionals and is not intended to be the sole source of information for decision-making.
# VI. Comparison of Intended Use and Technological Characteristics of the Subject and Predicate Device
The table below compares the intended use and technological characteristics of the subject and predicate device.
| | Subject Device Sibel Health Inc. | Primary Predicate: Huntleigh Healthcare Ltd |
| --- | --- | --- |
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ANNE Maternal 510(k) Summary
| Trade Name | ANNE Maternal | Sonicaid Team3 |
| --- | --- | --- |
| 510(k) | K253021 | K250777 |
| Class | II | II |
| Product Code | HGM, MSX, MWI, KMI, DRG | HGM, HEL, HGP, HFM, KXO, DRT, DQA, DXN |
| Regulation Number and Name | 21 CFR 884.274
Perinatal monitoring system and accessories | 21 CFR 884.274
Perinatal monitoring system and accessories |
| Indications for Use | The ANNE® Maternal system is a perinatal monitoring platform intended for the continuous collection, display, and storage of physiological data and vital signs from compatible medical devices in clinical settings. The system supports data acquisition from sensors, clinician inputted data, and compatible software for maternal and fetal monitoring in singleton pregnancies. Examples of parameters include maternal vital signs (e.g. heart rate, respiratory rate, SpO2, blood pressure, temperature), fetal heart rate, and uterine contractions. The system provides both visual and audio alarms, alerts, and notifications at the bedside via a mobile device or a compatible central monitor. The ANNE® Maternal system is intended for use by qualified healthcare professionals. This device is intended for use by healthcare professionals to support clinical decision-making. All information provided by the system is intended to supplement, not replace, the judgement of medical professionals and is not intended to be the sole source of information for decision-making.
The physiological parameters collected by the ANNE® Maternal system is inputted into the integrated electronic Modified | The Team3 fetal monitors are indicated for use by trained healthcare professionals in noninvasive and invasive monitoring of physiological parameters in pregnant women and fetuses, during the antepartum and intrapartum periods of pregnancy. The Team3 fetal monitors are intended for pregnant women with singleton or twin pregnancies from the 28th week of gestation, through to term and delivery. In cases of triplet, the Team3 fetal monitors are intended for use from 30th week of gestation through 35 weeks gestation. The devices are intended for use in clinical and hospital-type facilities. Sonicaid Team3 Antepartum is suitable for use when there is a need to monitor the following physiological applications:
• Single, twin or triplet fetal heart rates by means of ultrasound
• Uterine activity - externally sensed
• Manual fetal movement detection - maternally identified using the event marker
• Automatic fetal movement detection (defaults to OFF / Not for use in twin or triplet pregnancies)
• Maternal heart rate and oxygen saturation via pulse oximetry |
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ANNE Maternal 510(k) Summary
| | Early Obstetric Warning System (MEOWS) tool, which provides information that can signal the need for prompt bedside evaluation by the health care provider. This information is intended as adjunctive information only and is not intended to replace or supersede the review of individual vital signs by qualified healthcare professionals. | • Maternal non-invasive blood pressure
• The Dawes-Redman Cardiotocography (CTG) analysis output - advises whether a number of defined criteria indicative of a normal cardiotocograph record has been met for singleton pregnancies but not for triplet pregnancies. It provides nonspecific analysis in twin pregnancies due to nonspecific fetal movement input.
Sonicaid Team3 Intrapartum is suitable for use when there is a need to monitor the following physiological applications:
• Single, twin or triplet fetal heart rates by means of ultrasound and/or FECG • Manual fetal movement detection - maternally identified using the event marker • Maternal heart rate via ECG electrodes • Uterine activity - externally or internally sensed • Maternal heart rate and oxygen saturation via pulse oximetry • Maternal non-invasive blood pressure |
| --- | --- | --- |
| Includes Alarms | Yes | Yes |
| Algorithms | Yes | Yes |
| Clinical Decision Making Support Features | Yes | Yes |
| Intended Users | Healthcare professionals | Healthcare professionals |
| Target Population | Pregnant persons, single fetus >32 weeks | Pregnant persons, antepartum or intrapartum, >28 weeks gestation |
| Use Environment | Healthcare settings | Healthcare settings |
| Data collection | Collects Fetal Heart Rate (FHR) and Uterine Activity (UA) from third-party devices. | Collects Fetal Heart Rate and Uterine Activity (UA) from associated parts of the Team3 Fetal Monitor. |
| Annotations | Yes | Yes |
| Central Display | Yes | Yes |
| ECG Parameters | Displays ECG waveform collected from compatible FDA 510(k)- | Displays ECG waveform collected from associated parts of the Team3 |
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ANNE Maternal 510(k) Summary
| | cleared devices, including ANNE
Chest and compatible fetal sensors. | monitor system. |
| --- | --- | --- |
The ANNE® Maternal system shares the same general intended use and fundamental technological purpose as the predicate device (Sonicaid Team3, K250777). Both devices are intended for use by qualified healthcare professionals in clinical settings, including labor, delivery, and postpartum care, for the continuous acquisition, display, and management of maternal and fetal physiological data to support clinical decision-making.
From a technological perspective, both systems collect physiological parameters (e.g., maternal vital signs, fetal heart rate, uterine activity) from compatible monitoring devices, provide visual and audible alarms, and display information at the bedside and/or central monitoring stations. The subject device functions as a data aggregation and display platform that collates and presents physiological measurements without altering the underlying clinical meaning of the acquired parameters.
The primary technological distinction is the incorporation of an integrated electronic Modified Early Obstetric Warning System (MEOWS) within the ANNE® Maternal system. This feature provides information that can signal the need for prompt bedside evaluation by health care providers, based on collected physiological parameters to prompt clinician review. The inclusion of this decision-support functionality does not change the intended use of the device, does not replace clinician judgment, and does not alter the fundamental monitoring function. Rather, it represents an adjunctive software-based early warning notification system similar to other legally marketed perinatal monitoring systems that incorporate algorithm-based decision-support features. As such, this distinction does not raise different questions of safety and effectiveness.
# VII. Non-Clinical Performance Data
The following consensus standards and bench testing were used to evaluate the safety and effectiveness of ANNE Maternal as compared to the predicate device:
- General requirements for basic safety and essential performance testing according to IEC 60601-1
- Electromagnetic compatibility testing according to IEC 60601-1-2:2020.
- Basic safety and essential performance of electrocardiographic monitoring equipment with reference to 60601-2-27.
- Verification of the ECG waveform display per IEC 60601-2-27:2011
- and IEC 60601-2-47:2012.
- Verification of the alarm system to IEC 60601-1-8:2020.
- Basic safety and essential performance testing of pulse oximeter equipment according to ISO 80601-2-61
- Basic safety and essential performance testing of clinical thermometers for body temperature measurement according to ISO 80601-2-56
- Basic safety and essential performance of ultrasonic medical diagnostics and monitoring equipment according to IEC 60601-2-37
- Testing of symbols to be used in labeling according to ISO 15223-1
- Internal benchtop testing to demonstrate mechanical durability and signal accuracy of sensors
- Usability testing performed with reference to IEC 60601-1-6: 2010+AMD1:2013+AMD2:2020 CSV Parts 1-6
- Usability testing performed with reference to the FDA guidance document, Applying Human Factors and Usability Engineering to Medical Devices and IEC 62366-1:2020.
- Software verification and validation testing according to IEC 62304:2015 and the FDA
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guidance document, Content of Premarket Submissions for Device Software Functions: Guidance for Industry and Food and Drug Administration Staff
- Cybersecurity evaluation according to the FDA guidance document, Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions
## VIII. Clinical Supporting Data
The following sources of data collectively provided clinical supporting data regarding the device integrated Maternal Early Obstetric Warning System (MEOWS) tool.
1. Outside the United States (OUS) clinical validation according to a study by Singh, et. Al.: This was a prospective observational validation study conducted at a single center to evaluate the performance of the Confidential Enquiry into Maternal and Child Health, (CEMACH)-recommended MEOWS chart. The study included a review of 676 obstetric (antepartum, intrapartum and postpartum) admissions. Of these, 200 patients (30%) triggered the MEOWS system, and 86 patients (13%) experienced actual morbidity according to the study's predefined criteria. Results: The MEOWS system demonstrated a sensitivity of 89% with a 95% Confidence Interval (CI) of 81-95% and specificity of 79% with a 95% CI of 76-82% for predicting obstetric morbidity. The positive predictive value was 39% with a 95% CI of 32-46%, while the negative predictive value was 98% with a 95% CI of 96-99%. (Singh S, McGlennan A, England A, Simons R. A validation study of the CEMACH recommended modified early obstetric warning system (MEOWS). Anaesthesia. 2012 Jan;67(1):12-18.)
2. Clinical validation in the US according to study by Arnold, et. Al.: This was a retrospective observational cohort study at a single academic center (University of Chicago) comparing six different early warning tools for predicting clinical deterioration in obstetric patients. The study compared three obstetric-specific tools including MEOWS, two general paper-based tools, and one machine learning-based tool. The study included 19,611 patients hospitalized on obstetric units (antepartum and postpartum) over a 10-year period from November 2008 to December 2018. The study evaluated two primary outcomes: Clinical deterioration (defined as Intensive Care Unit (ICU) transfer and/or death); and New infection.
Results: MEOWS had a discrimination for deterioration, with an AUC of 0.74 (p < 0.05) and had the second-best result amongst all 6 early warning tools; but best of the 3 obstetrics-specific tools. (Arnolds DE, Carey KA, Braginsky L, Holt R, Edelson DP, Scavone BM, Churpek M. Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients. BMC Pregnancy Childbirth. 2022 Apr 6;22(1):295.)
3. OUS Clinical Pilot Study: An observational usability pilot study on 15 subjects confirmed that the subject device functions as intended in displaying the physiological signals and the MEOWS information in an intrapartum obstetrics population.
## IX. Conclusion
The results of the performance testing described above demonstrate that ANNE Maternal is as safe and effective as the predicate device and supports a determination of substantial equivalence.
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.