iBreastExam™ device is intended to produce a surface pressure map of the breast as an aid in documenting palpable breast lesions identified during a clinical breast exam. iBreastExam™ device is intended for use by a qualified healthcare professional trained in its use and is not for home use.
Device Story
Handheld device uses array of 16 pressure sensors to capture surface pressure maps of breast tissue; identifies palpable lesions. Operated by trained healthcare professionals in clinical settings. Data processed via iBEConnect software on Windows-based computer. Produces visual representation of lesion size, location, stiffness, and shape. Serves as documentation tool only; not for diagnosis. Clinical management decisions rely on clinical exam and diagnostic imaging (ultrasound/mammography). Benefits include standardized documentation of palpable findings.
Clinical Evidence
Bench testing only. Side-by-side performance testing conducted against predicate device. Verification and validation performed on all hardware and software subsystems. Biocompatibility testing performed on patient-contacting materials.
Technological Characteristics
System includes handheld scanhead (ABS plastic), computer, and iBEConnect software. Sensing principle: 16-element pressure sensor array (28mm x 28mm). Connectivity: USB. Power: USB wall charger. Software: Windows-based. Biocompatibility: Tested per standards.
Indications for Use
Indicated for qualified healthcare professionals to document palpable breast lesions identified during clinical breast exams. Not for home use.
Regulatory Classification
Identification
A breast lesion documentation system is a device for use in producing a surface map of the breast as an aid to document palpable breast lesions identified during a clinical breast examination.
Special Controls
*Classification.* Class II (special controls). The device, when it is a breast examination recording sheet, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 884.9. The special control is FDA's guidance entitled “Class II Special Controls Guidance Document: Breast Lesion Documentation System.” See § 884.1(e) for the availability of this guidance document.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
April 23, 2015
UE LifeSciences, Inc. Mihir Shah CEO 3711 Market Street, Suite 800 Philadelphia, PA 19104
Re: K142926 Trade/Device Name: iBreastExam Regulation Number: 21 CFR 884.2990 Regulation Name: Breast lesion documentation system Regulatory Class: II Product Code: NKA Dated: March 16, 2015 Received: March 20, 2015
Dear Mihir Shah,
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 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 (reporting of medical devicerelated adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in
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the quality systems (OS) 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 contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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 Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
# Herbert P. Lerner -S
for
Benjamin R. Fisher, Ph.D. Director Division of Reproductive, Gastro-Renal, and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K142926
Device Name
iBreastExam
Indications for Use (Describe)
iBreastExam™ device is intended to produce a surface pressure map of the breast as an aid in documenting palpable breast lesions identified during a clinical breastExam™ device is intended for use by a qualified healthcare professional trained in its use and is not for home use.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
| <div> <span> <b> ☑ </b> </span> <span>Prescription Use (Part 21 CFR 801 Subpart D)</span> </div> |
|-------------------------------------------------------------------------------------------------------------|
| <div> <span>☐ Over-The-Counter Use (21 CFR 801 Subpart C)</span> </div> |
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# 510(k) SUMMARY
This 510(k) summary of safety and effectiveness information is being submitted in accordance with the requirements of 21 CFR 807.92(c).
#### Applicant and Official Correspondent:
UE LifeSciences. Inc. C/o Mihir B. Shah 3711 Market St, Suite 800 Philadelphia, PA 19104
| Contact Person: | Mihir Shah |
|-----------------|--------------------------|
| Tel: | 631-980-8340 |
| Email: | mihir@uelifesciences.com |
April 23, 2015 Date Prepared:
### Name of Device:
iBreastExam Classification Name: Breast Lesion Documentation System (12 CFR 884.2990) Regulation Class: Class II Product Code: NKA
#### Predicate Device:
BREASTVIEW® VISUAL MAPPING SYSTEM (K010514 granted through de novo process)
### Intended Use:
The device is intended to produce a surface map of the breast as an aid in documenting size, shape, and location of breast lesions identified during a clinical breast exam. It is a documentation tool. It is not intended for diagnosis. The device should only be used to document a lesion already palpated on clinical breast exam. Clinical management decisions should only be made on the clinical and diagnostic examinations (e.g. ultrasound or mammography). If there is a disagreement between the examination and the record produced by the device, decisions should be made on the basis of the clinical examination.
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Image /page/4/Picture/0 description: The image shows the logo for UE LifeSciences. The logo consists of a circular design with overlapping rings in blue, pink, and gray. Below the circular design, the text "UE LifeSciences" is written in a simple, sans-serif font.
#### Indications for Use:
iBreastExam™ (iBreastExam) device is intended to produce a surface pressure map of the breast as an aid in documenting palpable breast lesions identified during a clinical breast exam. iBreastExam™ device is intended for use by a qualified healthcare professional trained in its use and is not for home use.
#### Technological Characteristics:
The iBreastExam system consists of a group of hardware and software components. The hardware component(s) consist of:
- iBreastExam Scanhead
- Computer System
- USB Wall Charger and Charging Cables .
The software component(s) consist of:
- iBEConnect Software Program ●
#### Performance Testing:
Performance tests were conducted per Class II Special Controls Guidance Document: Breast Lesion Documentation System, including electrical safety tests, electromagnetic compatibility tests as well as biocompatibility test. In addition, a side-by-side performance test was conducted between iBreastExam™ and the predicate device (BreastView).
Complete validation and verification was performed on all software and hardware subsystems. In summary, all test results were satisfactory and did not raise any additional safety or effectiveness concerns.
#### Substantial Equivalence:
| Parameter | Subject device | Predicate device – BreastView Visual Mapping System |
|------------------------------|-----------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
| Intended use | Same as the predicate | is intended to produce a surface pressure map of<br>the breast as an aid to document palpable breast<br>lesions identified during a clinical breast exam. |
| Processing unit | Same as the predicate | Computer with software, Windows based<br>operating system |
| Data acquisition method | Same as the predicate | Array of pressure sensors mounted on hand-<br>held scanhead |
| Lesion documentation | Same as the predicate | Lesion size, location, stiffness, shape |
| Detectable lesion size | ≥5mm | 5-40mm |
| Number of sensors in imaging | 16 | 416 |
| Pressure sensor array size | 28mm × 28mm | 40mm×25mm |
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| Image display | Same as the predicate | Yes |
|-------------------------------|--------------------------------------------------------------|---------------------------------------------------------------------------------|
| Image storage | Same as the predicate | Yes |
| Comparison to previous images | Same as the predicate | No |
| Final report | Same as the predicate | Color tactile maps |
| Patient contacting component | Reusable scanhead made of<br>acrylonitrile butadiene styrene | Disposable, single use cover (made of<br>polyurethane) attached to the scanhead |
| Use with lotion | Not needed | Needed |
#### Substantial Equivalence Discussion
- Intended use The subject and predicate devices have the same intended use. .
- Technological characteristics Similarities between the subject and predicate devices ●
- ★ They use computer with software. Windows based operating system.
- * They used the same data acquisition method - Array of pressure sensors mounted on handheld scanhead.
- * They provide the same lesion documentation lesion size, location, stiffness, and shape.
- ★ They detect the similar lesion sizes.
- ★ They have the same features regarding image display, image storage, image comparison, and format of final report.
- Technological characteristics Differences between the subject and predicate devices ●
- ★ The subject imaging component contains 16 sensors whereas the predicate imaging component has 416 sensors. Also, the subject device has a smaller pressure sensor array size. The differences raise an effectiveness concern, but there is no new type of question. Bench testing data showed that the subject device is effective.
- * The subject device uses different material (ABS vs. polyurethane used in the predicate device), raising a safety concern. However, safety related to material is not a new type of question and can be assessed by accepted biocompatibility testing. Biocompatibility data demonstrated that the subject device is safe.
In conclusion, the subject device is substantial equivalent in terms of safety and effectiveness.
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.