K251903 · Erchonia Corporation · NHN · Feb 19, 2026 · Physical Medicine
Device Facts
Record ID
K251903
Device Name
Erchonia DPN Laser (Model# EVRL)
Applicant
Erchonia Corporation
Product Code
NHN · Physical Medicine
Decision Date
Feb 19, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 890.5500
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The Erchonia® DPN Laser is indicated while using the red and violet diode simultaneously for prescription home use as an adjunctive treatment in providing temporary relief of diabetic peripheral neuropathy foot pain.
Device Story
Handheld, battery-operated, low-level laser therapy (LLLT) device for prescription home use. Emits non-thermal red (640 nm) and violet (405 nm) laser light via semiconductor diodes. Operated by patient; device features pre-programmed, non-adjustable neuropathy treatment protocol. User interacts via touchscreen to initiate/pause 5-minute per foot treatment sessions. Device uses inductive charging base. Output is line-pattern laser light manually scanned over treatment area. Provides temporary relief of diabetic peripheral neuropathy foot pain. Benefits include non-invasive, adjunctive pain management without heat generation.
Clinical Evidence
Prospective, placebo-controlled, randomized, double-blind, multi-center study (n=64). Subjects (mean age ~66) with diabetic peripheral neuropathy foot pain received 42 treatments (5 min/foot) over 3 weeks. Primary endpoint: ≥30% decrease in VAS pain score. Success: 72.73% active vs 32.26% placebo (p-value not stated, but met 35% difference threshold). Secondary outcomes (NPSI) supported primary findings. No serious adverse events; 3% reported minor tingling/warmth.
Indicated for patients with diabetic peripheral neuropathy experiencing foot pain, for prescription home use as an adjunctive treatment.
Regulatory Classification
Identification
An infrared lamp is a device intended for medical purposes that emits energy at infrared frequencies (approximately 700 nanometers to 50,000 nanometers) to provide topical heating.
Special Controls
*Classification.* Class II (special controls). The device, when it is an infrared therapeutic heating lamp, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 890.9.
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FDA U.S. FOOD & DRUG ADMINISTRATION
February 19, 2026
Erchonia Corporation
Travis Sammons
Clinical Affairs Manager
112 Southchase Blvd.
Fountain Inn, South Carolina 29644
Re: K251903
Trade/Device Name: Erchonia DPN Laser (Model# EVRL)
Regulation Number: 21 CFR 890.5500
Regulation Name: Infrared Lamp
Regulatory Class: Class II
Product Code: NHN
Dated: January 19, 2026
Received: January 20, 2026
Dear Travis Sammons:
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.
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K251903 - Travis Sammons
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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 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 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-
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K251903 - Travis Sammons
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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,
AMBER T. BALLARD -S
Amber Ballard, PhD
Assistant Director
DHT5B: Division of Neuromodulation and
Physical Medicine Devices
OHT5: Office of Neurological and
Physical Medicine Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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FORM FDA 3881 (8/23)
Page 1 of 1
PSC Publishing Services (301) 443-6740
EF
| DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use | Form Approved: OMB No. 0910-0120 Expiration Date: 07/31/2026 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K251903 | |
| Device Name Erchonia® DPN Laser (Model# EVRL) | |
| Indications for Use (Describe) The Erchonia® DPN Laser is indicated while using the red and violet diode simultaneously for prescription home use as an adjunctive treatment in providing temporary relief of diabetic peripheral neuropathy foot pain. | |
| 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: Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov | |
| "An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number." | |
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510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of 21 CFR 807.92.
Owner Information
Name and Address of Sponsor / Manufacturer
Erchonia Corporation
112 Southchase Blvd.
Fountain Inn, SC 29644
Telephone: 321-473-1251
Fax: 321-473-1608
Establishment Registration Number
2032513
Name and Address of Official Correspondent
Erchonia Corporation
112 Southchase Blvd.
Fountain Inn, SC 29644
Contact: Travis Sammons
Telephone: 321-473-1251
Fax: 321-473-1608
Email: tsammons@erchonia.com
Date Prepared
02/19/2026
Device Information
Trade Name: Erchonia® DPN Laser
Model#: EVRL
Common Name: Infrared Lamp
Classification Name: Powered Light-Based Laser Non-Thermal Instrument with Non-Heating Effect for
Adjunctive Use in Pain Therapy (21 CFR 890.5500)
Classification: Class II
Panel: Physical Medicine
Product Code: NHN
Predicate Device
Erchonia® EVRL cleared under K191257
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# Device Description
The Erchonia® DPN Laser (Model# EVRL) is a handheld, self-contained, lightweight, battery-operated low-level laser therapy (LLLT) device designed for use in prescription home environments. It delivers non-thermal, non-invasive laser light at specific wavelengths to provide a therapeutic benefit without generating heat. The DPN Laser builds upon the red and violet laser technology of the predicate Erchonia® EVRL (K191257), which is indicated for adjunctive use in providing temporary relief of minor chronic neck and shoulder pain of musculoskeletal origin under product code NHN.
The DPN Laser device utilizes two semiconductor laser diodes that emit visible red (640 nm ± 10 nm) and violet (405 nm ± 10 nm) light, each delivering 7.5 mW.
The DPN Laser incorporates a single, non-adjustable neuropathy treatment protocol, which is pre-programmed into the device and not accessible for modification by the end user. There is no interface available that permits alteration of the laser output power or wavelength, ensuring consistent and controlled therapeutic delivery.
The laser is powered by an internal rechargeable battery. Recharging is accomplished via a separate inductive charging base, which operates using an external medical-grade power supply compatible with 120V/60Hz or 220V/50Hz AC mains power. The DPN Laser system features a user-friendly touchscreen interface that functions as both a display and control panel. The touchscreen communicates with the internal printed circuit board (PCB) to initiate or pause laser energy delivery. Detailed operating instructions for touchscreen use and treatment application are provided in the Erchonia DPN Laser Proper Use Reference guide.
The associated accessories include:
(1) DPN Laser (no assembly required)
(1) Proper Use Reference Guide
(1) Laser Safety Goggles
(1) Charger Base
(1) Charger Base Power Supply Connector
# Indications for Use
The Erchonia® DPN Laser is indicated while using the red and violet diode simultaneously for prescription home use as an adjunctive treatment in providing temporary relief of diabetic peripheral neuropathy foot pain.
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Device Comparison Table
| Device | Erchonia® DPN Laser (Model #EVRL) | Erchonia® EVRL (Model #EVRL) | Device Comparison |
| --- | --- | --- | --- |
| 510(k) # | | K191257 | n/a |
| | Subject Device | Predicate Device | n/a |
| Manufacturer | Erchonia | Erchonia | Same |
| Power (measured at aperture) | Red: 7.5mW± 1mW Violet: 7.5mW± 0.5mW | Red: 7.5mW± 1mW Violet: 5mW | The violet diode power of the subject device (7.5 mW) represents a 2.5 mW increase over the predicate device (5 mW). This difference does not impact safety or effectiveness for the following reasons: 1. Both devices are non-thermal, low-level laser products. The increased violet power does not change the laser safety classification or the risk profile of the device. 2. Clinical data collected using the subject device at the 7.5 mW violet power output demonstrated substantially equivalent safety and effectiveness for the intended use. (refer to Performance Testing – Clinical) |
| Wavelength | Red: 640nm ± 10 Violet: 405nm ± 10 | Red: 640nm ± 10 Violet: 405nm ± 10 | Same |
| Energy Source | Diode laser energy collected then dispersed via line generating optics | Diode laser energy collected then dispersed via line generating optics | Same |
| J/cm2 Per Minute | Red: 0.09 J/cm2 Violet: 0.09 J/cm2 | Red: 0.09 J/cm2 Violet: 0.06 J/cm2 | The violet diode J/cm2 per minute of the subject device (0.09 J/cm2) represents a 0.03 J/cm2 increase over the predicate device (0.06 J/cm2). This difference does not impact safety or effectiveness for the following reasons: 1. The increase in J/cm2 per minute is a direct and proportional result of the increased violet diode power (from 5 mW to 7.5 mW) described above. The energy source and energy delivery remain the same as the predicate device. Therefore, the safety rationale provided for the power increase applies equally to the corresponding J/cm2 per minute increase. 2. Clinical data collected using the subject device at 0.09 J/cm2 per minute violet demonstrated substantially equivalent safety and effectiveness for the intended use. (refer to Performance Testing – Clinical) |
| Power Supply | Lithium-ion Polymer 3.7V, 3000mAh, 11.2W, rechargeable batteries | Lithium-ion Polymer 3.7V, 3000mAh, 11.2W, rechargeable batteries | Same |
| Energy Delivery | Hand-held device with probe on top | Hand-held device with probe on top | Same |
| Laser Application | Line pattern, manually scanned over area of treatment | Line pattern, manually scanned over area of treatment | Same |
| Laser Application | Line pattern, manually scanned over area of treatment | Line pattern, manually scanned over area of treatment | Same |
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| Intended Use | Non-thermal light-based device for adjunctive use in pain therapy | Non-thermal light-based device for adjunctive use in pain therapy | Same |
| --- | --- | --- | --- |
| Indications for Use | The Erchonia® DPN Laser is indicated while using the red and violet diode simultaneously for prescription home use as an adjunctive treatment in providing temporary relief of diabetic peripheral neuropathy foot pain. | The Erchonia® EVRL laser is generally indicated:
a. while using the red and violet diode simultaneously, for adjunctive use in providing temporary relief of minor chronic neck and shoulder pain of musculoskeletal origin
b. and while using the violet diode, to treat dermatological conditions, and specifically indicated to treat moderate inflammatory Acne Vulgaris. | Difference supported by clinical data (refer to Performance Testing-Clinical) |
| Materials | Machined billet aluminum enclosure | Machined billet aluminum enclosure | Same |
| Product Code | NHN | NHN | Same |
## Technological Characteristics Summary
The Erchonia® DPN Laser (Model #EVRL) represents a redesigned iteration of the predicate device, the Erchonia® EVRL. Both devices maintain the same or similar core technological characteristics, including power output, energy source, method of energy delivery, and intended use.
## Sterilization and Shelf-Life
The device is not provided sterile.
The device is not affected by shelf-life because it is an electro-mechanical device that is not sterile and whose components will not degrade over time while simply sitting in storage prior to initial use.
## Performance Testing-Animal
No animal testing conducted
## Performance Testing-Clinical
The clinical protocol and associated documentation refer to the investigational device as "EVRL," reflecting the model number of the device used at the time of study initiation. For the purposes of this 510(k) submission, the investigational device is marketed under the trade name "Erchonia® DPN Laser," with the same model designation (EVRL).
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# Clinical Data
BACKGROUND: The purpose of this clinical study was to determine the safety and effectiveness of the Erchonia® DPN Laser (Model #EVRL) in providing prescription home use application for temporary adjunctive relief of diabetic peripheral neuropathy foot pain.
STUDY DESIGN: The study was a prospective, placebo-controlled, randomized, double-blind, parallel group, multi-center design.
SUBJECTS: Sixty-four (64) subjects with a diagnosis of diabetes induced peripheral neuropathy with constant feet pain of 28 or greater on the 0 to 100 Visual Analog Scale (VAS) on-going over at least the prior 3 months completed the study to endpoint assessment: 33 randomized to the active treatment group and 31 randomized to the placebo treatment group. Subjects were 55% male (18/33) and 45% female (15/33) in the active treatment group and 52% male (16/31) and 48% female (15/31) in the placebo treatment group. The average subject age was 67.39 years for active treatment group subjects and 64.74 years for placebo treatment group subjects. Overall, subjects were predominantly Caucasian (56%), and Hispanic (23%).
The average duration of foot pain was 93.33 months for active treatment group subjects and 79.52 months for placebo group subjects, while duration since diabetes diagnosis averaged 186.17 months for the active treatment group and 122.06 months for the placebo treatment group.
STUDY PROCEDURES: Subjects self-administered two (2) treatments with the Erchonia® DPN Laser (active or placebo) on each consecutive day of the three-week treatment phase for a total of 42 self-administered treatments. Each individual treatment administration lasted five (5) minutes per foot. The placebo laser device appeared to the subject to be an active device but did not produce any therapeutic light output. Subjects maintained use of their usual medications and treatments for their diabetic peripheral neuropathy symptoms, including pain, as needed, while in the study, but did not try anything else new.
STUDY RESULTS: Primary efficacy outcome measure was predefined as the difference in the proportion of subjects between active and placebo treatment groups who recorded a 30% or greater decrease (≥30%) in self-reported pain rating on the 0 to 100 Visual Analog Scale (VAS) at study endpoint (Week 3) relative to baseline. Overall study success was predefined as at least a 35% difference in the proportion of individual subject successes between treatment groups. 72.73% of subjects who received active treatments with the Erchonia® DPN Laser met the individual subject success criteria compared with 32.26% of placebo treatment group subjects. As the difference in the proportion of individual subject successes between treatment groups met the pre-established minimum criteria of 35%, overall study success was established.
Secondary outcomes assessed between treatment groups across all applicable study assessments of Baseline, Day 10, Endpoint (Week 3) and Follow-up (Week 7), included diabetic peripheral neuropathy foot pain ratings on the VAS, and total Neuropathic Pain Symptom Inventory (NPSI) and Dimension scores. Secondary outcome findings showed improvement for the active over the placebo treatment group over time and were consistent and supportive of the primary outcome findings.
ADVERSE EVENTS: There were no serious study device- or treatment-related adverse events reported in this clinical study. There were two non-serious adverse events related to internal tingling and warmth during device use that occurred in 3% (2/64) of study subjects that were deemed possibly device and/or treatment related.
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# Biocompatibility
Not applicable. The device does not come in contact with the skin or any other bodily tissue. Users are instructed to wear gloves during treatment.
# Performance Data
Safety and EMC testing was conducted on the Erchonia® DPN Laser (Model #EVRL). The device complies with the IEC 60601-1, IEC 60601-1-6, IEC 60601-1-1-11, IEC 60601-1-2 and IEC 60825-1 standards.
# Compliance with Voluntary Standards
The Erchonia® DPN Laser (Model #EVRL) complies with the following voluntary standards:
IEC 60601-1-2:2014+AMD1:2020 Edition 4.1
IEC 60601-1:2005+AMD1:2012+AMD2:2020 Edition 3.2
IEC 60601-1-11:2015+AMD1:2020 Edition 2.1
IEC 60825-1:2014 Edition 3.0
# Conclusion
The subject device, Erchonia® DPN Laser, is determined to be substantially equivalent to the predicate device previously cleared under submission K191257. Both devices exhibit identical core technological characteristics, including power output, energy source, method of energy delivery, and mechanism of action.
Additionally, both the subject device and the predicate share the same intended use. Accordingly, the differences in IFU do not alter the intended therapeutic purpose of the device, and they raise no additional questions of safety or effectiveness. The Erchonia® DPN Laser is therefore substantially equivalent to the Erchonia® EVRL (K191257).
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.