The Monica AN24 is an intrapartum maternal-fetal monitor that non-invasively measures and displays fetal heart rate (FHR) and uterine activity (UA). The AN24 acquires and displays the FHR tracing from abdominal surface electrodes that pick up the fetal ECG (fECG) signal. Using the same surface electrodes, the AN24 also acquires and displays the UA tracing from the uterine electromyography (EMG) signal. The AN24 is indicated for use on women who are at term (>36 completed weeks), in labor, with singleton pregnancies, using surface electrodes on the maternal abdomen. The AN24 maternal-fetal monitor is intended for use by healthcare professionals in a clinical setting.
Device Story
Monica AN24 is a battery-powered, non-invasive intrapartum monitor for fetal well-being. It uses five surface electrodes on the maternal abdomen to capture fetal ECG (fECG) and uterine electromyography (EMG) signals. The device processes these electrical signals to extract and display FHR and uterine activity (UA) traces. Used in clinical settings by healthcare professionals. Unlike predicate devices using Doppler ultrasound and tocodynamometry (mechanical pressure), AN24 relies on electrical RR intervals and electrohysterogram (EHG) signals. It emits no energy into the patient. Output is displayed in standard format for clinician review to support labor management. Benefits include non-invasive monitoring without the need for internal scalp electrodes or intrauterine pressure catheters in all cases, providing accurate, reliable FHR and UA data.
Clinical Evidence
Clinical equivalence trial (n=60, 34 evaluable) compared Monica AN24, Doppler/TOCO (predicate), and gold standards (fetal scalp ECG/IUPC). FHR interpretability (PPA): 85% (AN24) vs 72% (Doppler). FHR accuracy (RMS error): 5 bpm (AN24) vs 12 bpm (Doppler). UA interpretability (PPA): 97% (AN24) vs 67% (TOCO). UA sensitivity: 89% (AN24) vs 55% (TOCO). UA timing lag: 2.5s (AN24) vs 3.3s (TOCO). Study confirms non-inferiority to predicate.
Technological Characteristics
Battery-powered electrophysiological monitor. Uses 5 surface electrodes on 3 channels for passive signal acquisition. Dimensions/form factor: small, wearable. Connectivity: not specified. Sterilization: not specified. Standards: IEC60601-1 (electrical), IEC60601-1-2 (EMC), IEC60601-1-2-47 (ECG performance), ISO10993 (biocompatibility).
Indications for Use
Indicated for intrapartum monitoring of women at term (>36 weeks gestation) in labor with singleton pregnancies. Used for non-invasive measurement and display of fetal heart rate (FHR) and uterine activity (UA) via maternal abdominal surface electrodes.
Regulatory Classification
Identification
An external uterine contraction monitor (i.e., the tokodynamometer) is a device used to monitor the progress of labor. It measures the duration, frequency, and relative pressure of uterine contractions with a transducer strapped to the maternal abdomen. This generic type of device may include an external pressure transducer, support straps, and other patient and equipment supports.
{0}------------------------------------------------
11 January 2011
Image /page/0/Picture/1 description: The image shows the logo for "Monica Healthcare". The logo consists of the word "Monica" in bold, sans-serif font, with a stylized figure of a person with outstretched arms replacing the dot over the "i". Below the word "Monica" is the word "Healthcare" in a smaller, less bold font. The overall design is simple and professional, suggesting a focus on health and well-being.
# K101801 510(K) Summarv
FEB - 3 201
### Monica AN24
#### Submitters Name:
lan How Monica Healthcare Ltd Biocity Pennyfoot Street Nottingham NG1 1GF UK
# Tel: +44 (0)115 912 4541 Email: ianhow@monicahealthcare.com
Name of Device: Monica AN24
Manufactured by:
Monica Healthcare Ltd Biocity Pennyfoot Street Nottingham NG1 1GF UK
Date of Summary: 40 January 2011
Classification Name: 21 CFR 884.270 System Monitoring Perinatal
Predicate Device: Philips 50XM (K954351)
#### Device Description:
The Monica AN24™ is a small, battery-powered device for L&D surveillance of fetal well-being. The AN24™ is designed to passively monitor Fetal Heart Rate (FHR) from the fetal electrocardiogram (fECG) and Uterine Activity (UA) from the Electrohysterogram (EHG) during pregnancy and can be used at any time from > 36 completed weeks gestation in laboring patients. The AN24™ is suitable for singleton pregnancies only.
#### Intended Use:
The Monica AN24 is an intrapartum maternal-fetal monitor that non-invasively measures and displays fetal heart rate (FHR) and uterine activity (UA). The AN24 acquires and displays the FHR tracing from abdominal surface electrodes that pick up the fetal ECG (fECG) signal. Using the same surface electrodes, the AN24 also acquires and displays the UA tracing from the uterine electromyography (EMG) signal. The AN24 is indicated for use on women who are at term (>36 completed weeks), in labor, with singleton pregnancies, using surface electrodes on the maternal abdomen.
The AN24 maternal-fetal monitor is intended for use by healthcare professionals in a clinical setting.
#### Technology Characteristics:
The Monica AN24 is a small, battery powered electrophysiological monitor (specifically fetal ECG and uterine EMG). The electrical signals are passively monitored on three channels using five electrodes placed on the pregnant abdomen in specific locations. From these electrical signals the Fetal Heart Rate (FHR) and
{1}------------------------------------------------
Image /page/1/Picture/1 description: The image shows the logo for "Monica Healthcare". The word "Monica" is in bold, black letters, with a stylized figure of a person extending upwards from the "i". Below "Monica" is the word "Healthcare" in a smaller, less bold font. The logo is simple and professional, likely representing a healthcare-related business.
Kioisoi page lot
va
Uterine Activity (UA) are continuously extracted and displayed in the same standard format as the predicate device.
The detection technology of the Monica AN24 differs from the predicate device which uses Doppler ultrasound to measure Fetal Heart Rate (FHR) and a tocodynamometer (TOCO) to measure Uterine Activity (UA). The predicate device detects the mechanical RR interval of the fetal heart whilst the Monica AN24 detects the electrical RR interval. However, from this data both instruments produce the same output i.e. fetal heart rate (expressed as number of heart beats per minute).
Uterine activity in the Monica AN24 is derived from the electrohysterogram which is the electric signal of the contracting/moving uterine muscle. The uterine activity in the TOCO predicate is derived from an external strain gauge to measure the abdominal pressure of the contracting/moving uterine muscle. However from this data both instruments produce the same uterine activity output trace.
For the actual detection of both FHR and UA the Monica AN24 does not emit any energy into the patient and hence the above differences in detection technology do not raise any new type of safety and effectiveness questions. In addition for FHR and uterine activity both the AN24 and predicate device are external, skin contacting devices. Differences in materials in contact with the patient are resolved with biocompatibility testing and compliance with standards.
To ensure clinical effectiveness the clinical performance data was collected as described in the "Clinical Study" section below. This study demonstrates that the Monica AN24 device is at least as accurate and reliable as the predicate device for monitoring both FHR and UA.
In summary, the differences in technology between the AN24 and the predicate device do not affect safety or effectiveness.
### Clinical Study
### 1. Introduction
This section summarizes the six-way clinical equivalence trial and subsequent Multi-Reader-Multi-Case (MRMC) studyl supporting the effectiveness of the Monica AN24. The study enrolled 60 women at term, in labor, at two clinical sites, of which 33 women contributed to the Fetal Heart rate (FHR) study and 30 to the Uterine activity (UA) study. Each study subject was instrumented with three technologies for measuring fetal heart rate (FHR) and with three technologies for measuring uterine activity (UA). These are:
### Fetal Heart Rate (FHR):
1) Doppler ultrasound cardiotocograph (Philips Series 50XM) – predicate device
2) Monica AN24 abdominal fetal ECG - test device
3) Direct fetal Scalp ECG (second Phillips Series 50XM device) - gold standard (GS)
# Uterine Activity (UA):
1) Tocodynamometry (Philips Series 50XM) - predicate device
2) Monica AN24 Electrohysterogram (EHG) - test device
3) Intrauterine Pressure Catheter (IUPC), Philips Series 50XM - gold standard (GS)
{2}------------------------------------------------
11 January 2011
Image /page/2/Picture/1 description: The image shows the logo for "Monica Healthcare". The logo consists of the word "Monica" in bold, block letters, with a stylized figure of a person replacing the dot over the "i". Below the word "Monica" is the word "Healthcare" in a smaller, less bold font. The logo is simple and modern, with a focus on the company name.
K101801 page 3 of 6
Using fetal scalp electrode and IUPC as the "gold standards", this study methodology allowed a six-way comparison for evaluating how well the Monica AN24 performed ys. Doppler for FHR measurement and Monica AN24 versus tocodynamometor for use in activity.
# 2. Study Design
# 2.1 Study Objective
The primary objective was to demonstrate that during the intrapartum period the Monica AN24 is equivalent to the Doppler FHR and tocodynamometer-derived uterine activity when both are compared simultaneously to direct scalp FHR and IUPC uterine activity, respectively.
Inclusion Criteria:
- . Pregnant, age 15-40
- Term gestation (>36 completed weeks)
- Singleton fetus .
- Active labor .
- Vertex presentation
- Requiring internal monitoring
## Exclusion Criteria:
- . Clinical contraindication for IUPC
- Major fetal malformation �
# 2.2 Study Methodology
Each study subject agreed to be simultaneously instrumented with three different technologies for measuring FHR and with three different technologies for measuring uterine activity (UA). Sensors and/or catheters were applied and removed as clinically indicated. For the UA comparison, three 30-minute segments of data were randomly selected from the entire monitored period for each subject, two 30-minute tracings from Stage 1 and one 30-minute trace from Stage 2 of labor. Therefore, 90 minutes of recording was analyzed for each subject for UA. For the FHR comparison, all the FHR data was analyzed for the entire monitoring period when the direct scalp FHR data was present.
# 2.3 Outcome Measures
Both the Monica AN24 (FHR and EHG) and the predicate devices (Doppler or TOCO) were compared with the gold standard (GS) device (i.e. direct scalp fetal ECG or IUPC). Monica AN24 was tested against the predicates using null hypotheses of inferiority and alternative hypotheses of non-inferiority, for the measurement of FHR and UA in terms of: Interpretability and Accuracy - resulting in four separate endpoints as follows:
## Fetal Heart Rate
The data from all 3 FHR instruments was processed into synchronized 0.25 second epochs. The following primary end points were calculated for FHR:
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image shows the logo for Monica Healthcare. The word "Monica" is written in a bold, sans-serif font, with the "M" and "o" connected. To the right of the word "Monica" is a stylized graphic of a person. Below the word "Monica" is the word "Healthcare" in a smaller, sans-serif font.
vá
End Point 1: For FHR interpretability the Monica FHR (or the Doppler FHR) versus the GS was organized into a 2x2 table of interpretable and uninterpretable data, i.e., where uninterpretable data are defined as those where the device in question does not report a valid FHR reading. A positive percent agreement (PPA) with GS was generated for each patient giving two values per patient - one for Monica AN24 vs GS and one for Doppler vs GS. PPA is defined as the percent of epochs with valid GS figures that are interpretable by the device in question
End Point 2: For FHR accuracy, a single Bland Altman (BA) difference plot was generated for Monica FHR (or Doppler FHR) vs the GS for each patient and a root mean square (RMS) error was determined for each device comparison. A BA difference plot is a scatter plot of the difference between the device and GS measurements vs. the GS measurement. RMS error is the square root of the mean of the squared differences.
## Uterine Activity
The uterine activity data were independently reviewed in a Multi-Reader Study by four Board Certified Obstetricians who independently indicated on randomized trace segments the following features: "Interpretable or Un-interpretable" data, and "Individual Contractions", with each individual contraction marked as "Good Quality" or "Bad Quality". The marking was blind with respect to the device that produced the tracing. The four sets of data were again processed in terms of interpretability and accuracy. The following primary end points were calculated for UA:
End Point 3: For UA interpretability, a 2x2 Table of interpretable/uninterpretable data of Monica EHG (or TOCO) vs GS (IUPC) was constructed and the PPA was determined in the same manner as for FHR.
End Point 4a: For UA sensitivity accuracy, a Table of individual contractions identified by both Monica AN24 (or TOCO) and GS (IUPC) and those detected only by GS (IUPC) was constructed. To determine sensitivity, the proportion of contractions as determined by GS that were detected within ± 30 seconds by the device in question were calculated
End Point 4b: A second UA accuracy parameter (UA timing accuracy) was calculated as the difference in timing of corresponding contractions between Monica AN24 (or TOCO) and the GS (IUPC).
# 3. Description of Study Population
Thirty-four of 60 subjects enrolled provided evaluable data. Mean gestational age was 39 weeks 3 days (37 w 2d to 42 w 0d). Mean age was 26 years (18 to 38). Mean body mass index (BMI) was 32 (19 to 54). Thirty-one subjects were successfully instrumented with all six technologies, two subjects were successfully instrumented with three FHR technologies and one subject was successfully instrumented with three uterine activity technologies.
#### 4. Results
The following key statistical outcomes, all validated with 95% confidence limits, were:
{4}------------------------------------------------
Image /page/4/Picture/2 description: The image shows the logo for "monica Healthcare". The word "monica" is written in a bold, sans-serif font, with the "m" and "o" connected. Below "monica" is the word "Healthcare" in a smaller, less bold font. To the right of the word "monica" is a stylized graphic of a person.
va
# FHR compared to fetal scalp ECG
- 1. FHR Interpretability: The mean positive percent agreement (PPA) for interpretable data for Monica was 85% compared with 72% for Doppler
- 2. FHR Accuracy: The mean RMS error from Bland Altman was 5 bpm for Monica compared with 12 bpm for Doppler, indicating than Was 5 Dpin 100 FHR output is more similar to the gold standard fetal scalp electrode measurement compared to Doppler.
# Uterine Activity compared to IUPC (average of 4 board certified obstetricians):
- 1. UA Interpretability: The mean PPA for UA trace interpretability of Monica was 97% compared with 67% for TOCO
- 2. UA Sensitivity Accuracy: The mean sensitivity for detecting individual contractions observed on IUPC, within ± 30 seconds, was 89% (84% to 99%) for Monica compared with 55% (48% to 62%) for TOCO.
- 3. UA Timing Accuracy: The mean timing difference of corresponding contractions was 2.5 seconds lag (2.06 to 2.94 seconds lag) when coponaring Monica AN24 with IUPC and 3.3 seconds lag (2.92 to 3.69 seconds lag) when comparing TOCO with IUPC.
## 5. False Positives
When Monica AN24 or tocodynamometry tracings exhibit a deflection above baseline that does not have a corresponding deflection on the gold standard IUPC, that deflection may be considered a "False Positive" (FP). The Monica "Multi-Reader Study" evaluated the relative FP rate for Monica AN24 and tocodynamometry. The results of this analysis demonstrated that clinician judgement on individual deflections varied widely among the four clinical reviewers. Therefore, it is unclear whether comparison of the FP rate for Monica AN24 vs. tocodynamometry in the Multi-Reader Study is generalizable.
To illustrate how individual clinical judgment may vary, the following example displays a Monica AN24 tracing with two discernable deflections above baseline that do not correspond to deflections on the IUPC tracing:
| Deflections do not correspond to a uterine contraction | |
|--------------------------------------------------------|--|
| Monica AN24 EHG trace: | |
| Image: EHG trace graph | |
| | |
| | |
| | |
| | |
| IUPC trace: | |
| Image: IUPC trace graph | |
| | |
| | |
| | |
| | |
| | |
| Deflections corresponding to uterine contraction | |
If most or all of the types of Monica AN24 deflections above are counted as contractions, then the Monica AN24 may display more FP contractions compared to
{5}------------------------------------------------
va
11 January 2011
Image /page/5/Picture/2 description: The image shows the logo for Monica Healthcare. The logo consists of the word "Monica" in a bold, sans-serif font, with the word "Healthcare" underneath in a smaller font. The "i" in Monica is replaced by a stylized figure of a person.
tocodynamometry. This difference, however, is unlikely to have an adverse impact on clinical outcomes in full term laboring patients.
# 5. Acknowledgements
Monica Healthcare Ltd, UK, would like to thank: the clinical teams at QHC, New York and Temple University, Philadelphia for undertaking this study and the USA mothers who kindly agreed to take part in the study.
# Non Clinical Test Summary
The Monica AN24 and Accessories comply with voluntary standards. The standards were employed in the following areas:
- Electrical Safety .
- EMC
- Material Safety
- Software Validation
#### Conclusion
The non clinical tests used voluntary standards employed at accredited independent test facilities to demonstrate that the Monica AN24 is as safe and effective in performance to the predicate device, the main standards employed were
- IEC60601-1 electrical safety .
- IEC60601-1-2 EMC
- IEC 60601-1-2-47 Performance standard for electrocardiographs
- IEC60601-1-4 Software
- ISO10993 Biocompatibility
- ISO14385 QMS
To demonstrate that the Monica AN24 is as clinically safe and effective as the predicate device, the clinical study described above measured the clinical performance of the Monica AN24 and the predicate device against the gold standards fetal scalp ECG and IUPC. The outcomes showed that in a clinical setting the Monica AN24 achieved for FHR: a positive percent agreement (PPA) for interpretability of 85% compared to 72% for the predicate; whilst for accuracy a mean RMS error from Bland Altman of 5 bpm for Monica AN24 when compared with 12 bpm for the predicate. For Uterine Activity the Monica AN24 achieved: a mean PPA for interpretability of 97% compared with 67% for predicate (TOCO); whilst for accuracy the mean sensitivity for detecting individual contractions was 89% for Monica AN24 compared with 55% for the predicate (TOCO); further the mean timing difference of corresponding contractions was 2.5 seconds (lag) when comparing Monica AN24 with IUPC and 3.3 seconds (lag) when comparing TOCO with IUPC. The Monica AN24 had an increased false positive contraction count compared to the predicate however, this was not clinically significant.
The conclusions drawn from the nonclinical tests and clinical study demonstrate that the Monica AN24 is as safe, as effective and performs as safely and effectively as the legally marketed predicate device.
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows the logo for the Department of Health & Human Services - USA. The logo is a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is an abstract symbol resembling a stylized eagle or bird in flight, composed of three curved lines.
Food and Drug Administration 10903 New Hampshire Avenue Document Mail Center - WO66-G609 Silver Spring, MD 20993-0002
Mr. Ian How Regulatory Affairs Manager Monica Healthcare Biocity Pennyfoot Street Nottingham United Kingdom NG1 1GF
FEB - 3 201
Re: K101801
Trade Name: Monica AN24 Regulation Number: 21 CFR §884.2740 Regulation Name: Perinatal monitoring system and accessories Regulatory Class: II Product Code: HGM, OSP Dated: December 1, 2010 Received: December 3, 2010
· Dear Mr. How:
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. The J 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 801); medical device reporting of medical device-related
{7}------------------------------------------------
Page 2
adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Hubert Lemmer MD
Herbert P. Lerner, M.D., Director (Acting) Division of Reproductive, Gastro-Renal and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health
# Enclosure
{8}------------------------------------------------
# Indications for Use Statement
510(k) Number (if known):
Device Name: AN24
Indications For Use:
The Monica AN24 is an intrapartum maternal-fetal monitor that non-invasively measures and displays fetal heart rate (FHR) and uterine activity (UA). The AN24 acquires and displays the FHR tracing from abdominal surface electrodes that pick up the fetal ECG (fECG) signal. Using the same surface electrodes, the AN24 also acquires and displays the UA tracing from the uterine electromyography (EMG) signal. The AN24 is indicated for use on women who are at term (>36 completed weeks), in labor, with singleton pregnancies, using surface electrodes on the maternal abdomen.
The AN24 maternal-fetal monitor is intended for use by healthcare professionals in a clinical setting.
Prescription Use (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Page 1 of 1
hozu m whay
(Division Sign-Off)
Division of Reproductive, Gastro-Renal, and
Urological Devices
510(k) Number K101801
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.