The DistaSense(TM) System is a contactless medical device intended to measure heart rate and respiration rate in healthy adult patients, at rest or during sleep (in a non-motion condition) the DistaSense(TM) System is intended to be used by healthcare professionals, caregivers, and patients, with recordings performed in either a clinical setting or in a home environment. The DistaSense(TM) web application is intended for use by healthcare professionals only. This device is not indicated for active patient monitoring, rather, it is intended for retrospective data review in healthy patients. The device is not indicated for use in pregnant women or patients with active implantable devices.
Device Story
Contactless remote patient monitoring system; measures heart rate (HR) and respiration rate (RR) in healthy adults at rest or during sleep. System components: bed sensor, adjustable bed strap, analog front end (AFE), smart data hub, and web portal. Bed sensor uses near-field antenna to detect body capacitance changes associated with breathing and circulation; AFE processes signals; smart data hub transmits data via cellular signal to AWS cloud. Web portal allows healthcare professionals to perform retrospective data review, administrative tasks, and patient management. Device intended for retrospective review, not active monitoring. Benefits include non-invasive, contactless vital sign tracking in home or clinical environments.
Clinical Evidence
Clinical study (n=26 healthy subjects) compared DistaSense to polysomnography-based respiratory effort belt and ECG. RR accuracy: +/- 3 bpm (95% LOA: -0.42 to 0.25 overnight average; -1.91 to 1.77 high frequency). HR accuracy: +/- 5 bpm (95% LOA: -0.48 to 0.18 overnight average; -3.83 to 3.37 high frequency). Mean biases were minimal. Subgroup analysis (BMI, sex, age, race) showed consistent performance. Gap analysis performed for RR validation against gold standard capnography.
Technological Characteristics
Contactless near-field antenna capacitance sensing. Components: bed sensor, adjustable bed strap, analog front end, smart data hub, web portal. Connectivity: cellular transmission to AWS cloud. Software developed per IEC 62304. Electrical safety per IEC 60601-1, EMC per IEC 60601-1-2. No patient contact; no biocompatibility testing required.
Indications for Use
Indicated for healthy adult patients (22+ years) to measure heart rate and respiration rate at rest or during sleep in non-motion conditions. Not indicated for pregnant women or patients with active implantable devices. For use by healthcare professionals, caregivers, and patients in clinical or home settings.
Regulatory Classification
Identification
A cardiac monitor (including cardiotachometer and rate alarm) is a device used to measure the heart rate from an analog signal produced by an electrocardiograph, vectorcardiograph, or blood pressure monitor. This device may sound an alarm when the heart rate falls outside preset upper and lower limits.
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FDA U.S. FOOD & DRUG ADMINISTRATION
September 25, 2026
Life Detection Technologies
% Michael Nilo
President, Principal Consultant
Nilo Medical Consulting Group
3706 Butler St.
Suite #313
Pittsburgh, Pennsylvania 15201
Re: K254058
Trade/Device Name: DistaSense(TM) (v1)
Regulation Number: 21 CFR 870.2300
Regulation Name: Cardiac Monitor (Including Cardiotachometer And Rate Alarm)
Regulatory Class: Class II
Product Code: DRT, BZQ
Dated: August 21, 2026
Received: August 24, 2026
Dear Michael Nilo:
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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K254058 - Michael Nilo
Page 2
Before making any change significantly affecting the safety or effectiveness of the device, you must submit a new premarket notification in accordance with 21 CFR 807.81. 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).
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 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (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 ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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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K254058 - Michael Nilo
Page 3
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,
JENNIFER W. SHIH -S
Jennifer Kozen
Assistant Director
Division of Cardiac Electrophysiology,
Diagnostics, and Monitoring Devices
OHT2: Office of Cardiovascular Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K254058 | ? |
| Please provide the device trade name(s). | | ? |
| DistaSense(TM) (v1) | | |
| Please provide your Indications for Use below. | | ? |
| The DistaSense(TM) System is a contactless medical device intended to measure heart rate and respiration rate in healthy adult patients, at rest or during sleep (in a non-motion condition) the DistaSense(TM) System is intended to be used by healthcare professionals, caregivers, and patients, with recordings performed in either a clinical setting or in a home environment. The DistaSense(TM) web application is intended for use by healthcare professionals only. This device is not indicated for active patient monitoring, rather, it is intended for retrospective data review in healthy patients. The device is not indicated for use in pregnant women or patients with active implantable devices. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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510(k) Summary
## 510(k) Summary
| 510(k) # | K254058 |
| --- | --- |
| Date Prepared | 09/23/2026 |
### 1. Contact Details: 21 CFR 807.92(a)(1)
| Applicant Name | Life Detection Technologies |
| --- | --- |
| Applicant Address | 440 N Wolfe Rd, STE WL 265 Sunnyvale, CA 94085 |
| Applicant Contact | Peter Rule |
| Applicant Contact Telephone | 650-279-5261 |
| Applicant Contact Email | prule@distasense.com |
### 2. Device Name: 21 CFR 807.92(a)(2)
| Device Trade Name | DistaSense™ System |
| --- | --- |
| Common Name | Monitor, Cardiac / Monitor, Breathing Frequency |
| Regulation Number | 870.2300 / 868.2375 |
| Product Codes | DRT, BZQ |
### 3. Legally Marketed Devices: 21 CFR 807.92(a)(3)
| Predicate Number | K223163 |
| --- | --- |
| Predicate Trade Name | Sleepiz One+ |
| Product Code | DRT, BZQ |
### 4. Device Description Summary: 21 CFR 807.92(a)(4)
The DistaSense™ system is a contactless medical device intended to measure heart rate and respiration rate in healthy adult patients 22 years or older, at rest or during sleep (in a non-motion condition). The DistaSense™ system is intended to be used by healthcare professionals, caregivers, and patients, with recordings performed in either a clinical setting or in a home environment. The five major components in the system are the bed sensor, adjustable bed strap, analog front end, smart data hub, and the web portal with data analytics. The bed sensor is a non-contact, near-field antenna that, when used in conjunction with the analog front end, detects the patient's change in body impedance. This information is then passed to the smart data hub, which securely transfers the data to the web portal. The web portal gives healthcare professionals several different administrative and processing capabilities. All patient data is then encrypted and stored on a non-device Medical Device Data System.
DistaSense System – Life Detection Technologies
Page 1 of 9
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510(k) Summary---
## 5. Intended Use/Indications for Use: 21 CFR 807.92(a)(5)
The DistaSense™ system is a contactless medical device intended to measure heart rate and respiration rate in healthy adult patients, at rest or during sleep (in a non-motion condition). The DistaSense™ system is intended to be used by healthcare professionals, caregivers, and patients, with recordings performed in either a clinical setting or in a home environment. The DistaSense™ web application is intended for use by healthcare professionals only. This device is not indicated for active patient monitoring, rather, it is intended for retrospective data review in healthy patients. The device is not indicated for use in pregnant women or patients with active implantable devices.
## 6. Indications for Use Comparison: 21 CFR 807.92(a)(5)
The Indications or Use of the DistaSense and Sleepiz One+ are nearly identical. The medical indications related to heart rate and respiration rate are the same for both the subject and predicate device.
## 7. Technological Comparison: 21 CFR 807.92(a)(6)
While the biometric data collection technology differs, the interpretation, use of, and conveyance of the data is equivalent to the predicate device. Both the predicate and subject devices are used for the contactless collection of respiration rate (RR) and heart rate (HR) of patients during rest in a clinical or home healthcare environment.
The DistaSense system uses a near-field antenna to measure capacitance changes to collect and interpret data on the RR and HR of the patient. Likewise, the Sleepiz One+ uses local radar detection to perceive movements and interpret the data to determine and display the RR and HR of the patient.
The differences in technology do not raise different questions of safety or effectiveness. The questions are the same, and existing test methods have been used to demonstrate substantial equivalence and a reasonable assurance of safety and effectiveness.
The table below summarizes the technological characteristics of the subject device compared to the stated predicate.
---DistaSense System – Life Detection Technologies
Page 2 of 9
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# 510(k) Summary
| Detail and Technological Characteristic | Subject Device DistaSense v1 | Primary Predicate Sleepiz One+ (K223163) | Comparison |
| --- | --- | --- | --- |
| Device | DistaSense v1 | Sleepiz One+ | |
| 510k Number | K254058 | K223163 | |
| Manufacturer | Life Detection Technologies 440 N. Wolfe Rd Sunnyvale, CA 94085 USA | Sleepiz AG Hornbachstrasse 23 Zurich Zurich 8008 DE | |
| Classification & Product Code | 21 CFR 870.2300 DRT, BZQ | 21 CFR 870.2300 DRT, BZQ | Same |
| Indications for Use | The DistaSense™ system is a contactless medical device intended to measure heart rate and respiration rate in healthy adult patients, at rest or during sleep (in a non-motion condition). The DistaSense™ system is intended to be used by healthcare professionals, caregivers, and patients, with recordings performed in either a clinical setting or in a home environment. The DistaSense™ web application is intended for use by healthcare professionals only. This device is not indicated for active patient monitoring, rather, it is intended for retrospective data review in healthy patients. The device is not indicated for use in pregnant women or patients with active implantable devices. | Sleepiz One+ is a contactless medical device intended to measure heart rate and respiration rate in adult patients, at rest or during sleep (in non-motion condition). The Sleepiz One+ hardware unit is intended to be used by a healthcare professional when the recordings are performed in a clinical setting, or by patients or their caregivers when the recordings are performed in a home environment. The Sleepiz One+ web application is intended for use by healthcare professionals. Sleepiz One+ device can also detect the presence of patients and their body movements at rest or during sleep. This device is not indicated for active patient monitoring, as it does not provide alarms for timely response in life-threatening situations. It is not indicated for use on pregnant women or patients with active implantable devices. | Similar – DistaSense measures heart and respiratory rate with the data used by healthcare professionals to inform patient care and can be used at home or in a clinical setting, including long-term care facilities. The DistaSense does not collect information on patient movement or presence. |
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# 510(k) Summary
| Device Description | The DistaSense system is a wireless remote patient monitoring system intended for use by healthcare professionals for the measurement of respiration rate and heart rate, in an automatic contact-less manner. The system is designed for installation by trained LDT service technicians. The system consists of the following components: - Bed Sensor; - Adjustable Bed Strap; - Analog Front End; - Smart Data Hub with power supply; - Healthcare professional-facing Web Portal with data analytics. The non-contact Bed Sensor, in conjunction with the Analog Front End (AFE), detects the body capacitance changes associated with breathing and circulation in the patient's torso. The | Outputs: The following parameters are estimated: - Breathing pattern; - Instantaneous breathing rate [breaths per minute]; - Breathing rate statistics (10^{th}, 50^{th}, and 90^{th} quantiles) [breaths per minute]; - Body movement; - Time in bed [hours]; - Presence detection; - Heart rate [beats per minute]; - Heart rate statistics (10^{th}, 50^{th}, 90^{th} quantiles) [beats per minute]. Major Components: 1. Sleepis One+ Hardware unit: The Sleepiz One+ hardware unit uses radar technology that allows contactless detection of heart rate and respiration rate by sensing chest displacements originating from heartbeats and breathing activity of patients at rest or during sleep. The hardware unit can be used by a healthcare professional when the recordings are performed in a | Similar – DistaSense does not include as many features or outputs as the predicate devices. But the combination of a non-contact monitoring system with data transferred wirelessly to a cloud service for data to be accessed by a healthcare professional is the same between all devices. The DistaSense uses near-field antenna capacitance measurements instead of radar to collect data. |
| --- | --- | --- | --- |
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510(k) Summary
| | Smart Data Hub (SDH) securely transmits the body capacitance data to the Web Portal for processing into respiration rate (RR) and heart rate (HR). Data is transmitted safely via cellular signal to an AWS cloud service that is accessed via the Web Portal The Web Portal provides for user administration and patient management, as well as processing and display of patient data. The Web Portal displays the RR and HR data plot for each daily sleeping bout. The SDH signal quality and any status or data transmission faults are displayed on the Web Portal. | clinical setting, or by patient or their caregiver when the recordings are performed in home environment. The signals recorded by Sleepiz One+ hardware unit is then transferred via Wi-Fi to the cloud software where it is interpreted and displayed on the web application. 2. **Sleepiz One+ Web Application:** The Sleepiz One+ web application is intended to display the vital signs that have been interpreted from the derived signals by the Sleep Analytics Software on the secured Sleepiz Cloud software. The displayed data can then be accessed by a healthcare professional for retrospective analyses to remotely monitor the patient's physiological status. The intended users of the Sleepiz One+ web application are physicians and other healthcare professionals in a clinical setting. The web application allows the annotation of the data, compilation of results into reports, the management of Sleepiz One+ hardware units and to perform other administrative functions that do not involve vital signs. Accessories: Sleepiz hardware unit is supplied with the following components which are intended to be used in combination with it: - Power supply; -Tablet with pre-installed application to enable data transfer via Wi-Fi and display the connectivity status Support structure to allow easy positioning of the device. | |
| --- | --- | --- | --- |
| **Intended Use** | The intended use is to contactlessly measure patient heart rate and respiration rate. | The intended use is to contactlessly measure heart rate and respiration rate and detect patient motion. | Same |
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# 510(k) Summary
| **Intended User** | Patients and healthcare professionals | Patients and healthcare professionals | Same |
| --- | --- | --- | --- |
| **Site of Use** | Clinical and home environment | Clinical and home environment | Same |
| **Patient Population** | Adults | Adults | Same |
| **TECNOLOGICAL CHARACTERISTICS** | | | |
| **Data Collection Method** | Near-field Antenna capacitance measurement | Continuous-wave radar | Primary difference between predicates and subject device. |
| **Data Transfer Method** | Wireless (Cellular) | Wireless (Wi-Fi, LTE via accessory tablet) | Similar; no impact to safety and effectiveness |
| **Outputs** | HR, RR | HR, RR, Presence Detection | Similar – DistaSense does not provide presence or motion detection |
| **Heart Rate Measurement Range and Accuracy** | 40-150 beats/min ± 5 bpm | 40-120 beats/min ± 5 bpm | Similar; no impact to safety and effectiveness |
| **Respiratory Rate Measurement Range and Accuracy** | 4-35 breaths/min ± 3 bpm | 5-40 breaths/min ± 3 bpm | Similar; no impact to safety and effectiveness |
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510(k) Summary---
## 8. Performance Testing: 21 CFR 807.92(b)
Life Detection Technologies has performed robust verification and validation activities in order to support its substantial equivalence when compared to the primary predicate and the reference devices. This testing includes both non-clinical and clinical testing. The following sections outline the testing completed on the subject device in the order they appear in the eSTAR.
### 8.1 Non-Clinical Testing
#### 8.1.1 Distribution Testing
The packaging of the DistaSense System was evaluated according to the distribution cycles and assurance level of ASTM D4169. All testing was passed and no deviations were reported.
#### 8.1.2 Biocompatibility Testing
For the DistaSense System, there is no patient contact. As such, no biocompatibility testing was required for the subject device.
#### 8.1.3 Software Testing
The software used in the DistaSense System has been developed in accordance with IEC 62304:2006/Amd 1:2015. To verify that all software requirements have been met, both static and dynamic testing have been completed. Integration testing, system-level testing , and performance testing were also completed. All testing was passed.
#### 8.1.4 Cybersecurity Testing
For cybersecurity testing, Life Detection Technologies has completed all testing as required by the published FDA guidance titled “*Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions.*” This testing includes security requirement verification and validation, threat mitigation, vulnerability testing, and penetration testing.
#### 8.1.5 Electromagnetic Compatibility and Electrical Safety
Appropriate electromagnetic compatibility testing was completed to show that the performance of the device did not degrade in the presence of external phenomena, ensuring the real-world resilience of the device. EMC testing was done according to IEC 60601-1-2:2014+AMD1:2020 with performance during emissions testing evaluated per IEC 60601-4-2.
---DistaSense System – Life Detection Technologies
Page 7 of 9
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510(k) Summary
EMT safety testing was performed in accordance with IEC 60601-1:2005+AMD1:2012+AMD2:2020, and IEC 60601-1-11:2015+AMD1:2020. All acceptance criteria were passed during and after testing, and no deviations were reported.
### 8.1.6 Bench Testing
Life Detection Technologies performed testing to show the durability of the bed sensor across the use-life of the DistaSense system. This testing was performed at both T=0 and after accelerated aging simulating one year of use. The sample size of this testing was n=4, and all acceptance criteria were met without any deviations.
Testing to demonstrate sensors do not drift with continuous and repeated use was also performed to support that measurements and outputs remain accurate.
### 8.2 Clinical Testing
Life Detection Technologies performed clinical testing to evaluate the performance of the DistaSense system compared to standard polysomnography-based respiratory effort belt and electrocardiography (ECG) recordings to assess the respiration rate and heart rate accuracy, respectively, in patients who were observed continuously overnight. The enrolled patient population was representative of the intended population (i.e., healthy subjects).
The respiratory rate accuracy was found to meet the prespecified passing criteria of +/- 3 breaths per minute for both the overnight average dataset and the high frequency dataset, with 95% limits of agreement of -0.42 to 0.25, and -1.91 to 1.77 breaths per min, respectively, compared to manually scored respiratory rate from respiratory effort belt (n=26). The heart rate accuracy was found to meet the prespecified passing criteria of +/- 5 beats per minutes for both the overnight average dataset and the high frequency dataset, with 95% limits of agreement of -0.48 to 0.18, and -3.83 to 3.37 beats per minute, respectively, compared to manually scored heart rate from ECG (n=26). The mean biases for the overnight average RR and the high frequency RR are -0.08 and -0.06 breaths per minute, respectively. The mean biases for the overnight average HR and the high frequency HR are 0.15 and -0.23 beats per minute, respectively. The Deming regression slope values for RR and HR are 1.008 and 1.002, respectively.
### RR Validation Reference Device Gap Analysis
As the clinical performance testing was not performed with the accepted gold standard for RR validation (blinded, manually counted etCO2 waveforms with an FDA-cleared capnogram) a gap analysis was performed that compared the gold standard to the reference device (RIP belt) over the entire claimed RR range. The 95% limits of agreement were -1.334 to 0.868 and 0.715 to 1.069. This data supports that for the claimed RR range in the intended population (exclusively healthy patients) that clinical testing with an alternative ground truth is scientifically sound and
DistaSense System – Life Detection Technologies
Page 8 of 9
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510(k) Summary
can support RR functionality.
Device performance was also assessed by subgroups according to BMI, sex at birth, age, and race. The results of all subgroup analysis demonstrate reasonably distributed sample size within each subgroup, as well as consistent performance across all subgroups analyzed.
Thus, the performance of the DistaSense system supports substantial equivalence to the predicate device.
# 9. Conclusion 21 CFR 807.92(b)(3)
This 510(k) submission demonstrates that the DistaSense system is substantially equivalent to the predicate device.
DistaSense System – Life Detection Technologies
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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.
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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.
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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.
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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.
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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.