The M01 System is a hand-held X-ray system designed to aid clinicians with point of care visualization through diagnostic X-rays of extremities.
Device Story
Handheld, portable X-ray system for point-of-care extremity imaging. Comprises Emitter (X-ray tube, computer vision camera, operator controls), Cassette (digital detector, IR/status lights), and Control Unit (generator, computing). Operator positions emitter over anatomy using computer vision guidance. System includes 'AiLARA' AI-based algorithm that automatically recommends power settings and exposure times to optimize image quality and reduce overexposure. Used in clinical environments by trained clinicians. Output displayed on external monitor; images transferable to PACS or flash drive. Benefits include reduced retakes and optimized radiation dose.
Clinical Evidence
No clinical studies were performed. Evidence consists of non-clinical bench testing using phantoms representing adult and pediatric populations. Image quality validation confirmed diagnostic relevance via review by radiologists and an orthopedic surgeon. Radiation dose testing confirmed outputs remained below diagnostic reference levels. Usability evaluation with 15 licensed operators confirmed safe and effective use of AiLARA modes.
Technological Characteristics
Handheld mobile X-ray system. Components: Emitter, Cassette (6x6" CsI detector, 99 μm pixel size), Control Unit. Energy: 120 VAC/60 Hz. Connectivity: WiFi, Ethernet, USB 2.0, DICOM 3.0. Software: AiLARA AI-based algorithm for automated technique selection. Standards: IEC 62304:2015 (software lifecycle), ISO 14971:2019 (risk management), IEC 62366-1:2020 (usability).
Indications for Use
Indicated for use by qualified/trained clinicians on adult and pediatric patients for taking diagnostic static and serial radiographic exposures of extremities. Not intended to replace radiographic systems with variable tube current and kVp ranges required for full optimization of image quality and radiation exposure for different exam types.
Regulatory Classification
Identification
A mobile x-ray system is a transportable device system intended to be used to generate and control x-ray for diagnostic procedures. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
{0}------------------------------------------------
February 4, 2022
Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left side of the image is the Department of Health & Human Services logo. To the right of the HHS logo is the FDA logo, which consists of the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG" in blue, with the word "ADMINISTRATION" underneath.
OXOS Medical, Inc. % Prithul Bom Most Responsible Person Regulatory Technology Services, LLC 1000 Westgate Drive, Suite 510k SAINT PAUL MN 55114
Re: K212654
Trade/Device Name: Micro C Medical Imaging System, M01 Regulation Number: 21 CFR 892.1720 Regulation Name: Mobile X-Ray System Regulatory Class: Class II Product Code: IZL Dated: January 27, 2022 Received: January 28, 2022
Dear Prithul Bom:
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. 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 located 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.
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
{1}------------------------------------------------
801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/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-device-advice-comprehensive-regulatoryassistance/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,
Laurel Burk, Ph.D. Assistant Director Diagnostic X-Ray Systems Team Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known)
#### K212654
Device Name Micro C Medical Imaging System, M01
#### Indications for Use (Describe)
The Micro C Medical Imaging System, M01 is a handheld and portable general purpose X-ray system that is indicated for use by qualified/trained clinicians on adult and pediatric patients for taking diagnostic static and serial radiographic exposures of extremities. The device is not intended to replace a radiographic system that has both variable tube current and voltages (kVp) in the range that may be required for full optimization of image quality and radiation exposure for different exam types.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|--|
| X Prescription Use (Part 21 CER 801 Subnart D) | |
### 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."
{3}------------------------------------------------
Section 5 510(k) Summary
Image /page/3/Picture/2 description: The image shows a logo that reads "OXOS MEDICAL". The logo consists of four symbols: a circle with two gaps, an X, another circle with two gaps, and the letter S. The word "MEDICAL" is written in smaller letters below the symbols.
K212654
# Section 5 510(k) Summary
In accordance with 21 CFR §807.92 and the Safe Medical Devices Act of 1990, the following information is provided for the Micro C Medical Imaging System, M01 Traditional 510(k) premarket notification. The submission was prepared in accordance with the FDA guidance document, 'Format for Traditional and Abbreviated 510(k)s', issued on August 12, 2005.
| Submitter: | OXOS Medical, Inc<br>1230 Peachtree St NE<br>Suite #300<br>Atlanta, GA 30309<br>Tel: 1-855-SEE-XRAY |
|---------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submission Contact: | Mo Khosravanipour<br>Director of Program Management<br>OXOS Medical, Inc.<br>Email: Mo@oxos.com<br>Grace Powers, MS, MBA, RAC<br>Founder/Principal Consultant<br>Powers Regulatory Consulting<br>Email: grace@powersregulatory.com |
| Submission Date: | July 21, 2021 |
| Subject Device: | Trade Name: Micro C Medical Imaging System, M01<br>Common Name: System, X-Ray, Mobile<br>Regulation: 21 CFR § 892.1720<br>Regulatory Classification: 2<br>Product Code: IZL<br>Classification Panel: Radiology |
| Predicate Device: | Legally marketed device to which substantial equivalence is claimed:<br>Micro C Medical Imaging System, M01 (K211473) |
### Device Description:
The Micro C Medical Imaging System, M01 (subject device) is a handheld X-ray system designed to aid clinicians with point of care visualization through diagnostic X-rays of distal extremities. The device allows a clinician to select desired technique factors best suited for their patient anatomy. The Micro C Medical Imaging System, M01 consists of three major subsystems: The Emitter, Cassette, and Control Unit. The System is intended to interface an external Monitor (touchscreen or non-touchscreen display), keyboard and a mouse, and can provide a remote operator interface over the network to a laptop. The
{4}------------------------------------------------
Section 5 510(k) Summary
Micro C Medical Imaging System, M01 utilizes a computer vision positioning system to allow the emitter to be positioned above the patient anatomy and aligned to the cassette by the operator. The device is used in a clinical environment. A description of the three major sub-systems is listed below.
- Emitter: This component contains the operator control panel, X-ray tube, and computer vision camera. The control panel allows the operator to control the major functions of the device, including the technique factors. This component is controlled and held in the operator's hand.
- Cassette: This component contains the X-ray detector that collects the X-ray energy and provides a digital representation to the control unit for eventual display. This component also contains status lights and IR lights to assist in X-ray field positioning. The patient anatomy of interest is placed on top of this module.
- Control Unit: This component contains the High Voltage generator, computing power, monitor and keyboard inputs, and other electronics required for the functioning of the device. This module is typically placed on a shelf, cart, counter, or other flat surface convenient to the operator and environment.
The system is intended to work in conjunction with a DICOM monitor, keyboard and a mouse and the mains power outlet.
The Micro C Medical Imaging System, M01 has custom validated software that includes a user interface that allows the operator to view and adjust captured radiographs and transfer radiographs to a PACS server or flash drive.
Image /page/4/Figure/8 description: The image shows a white box connected to a handheld device and a square base via cables. Two blue cables connect the box to the handheld device and the square base. Two gray cables also connect the box to the square base.
# Figure 5-1: Subject Device - Micro C Medical Imaging System, M01
{5}------------------------------------------------
Image /page/5/Figure/2 description: The image shows a computer setup with a monitor, keyboard, mouse, and a white device. The monitor is connected to the white device, and the keyboard and mouse are also connected to it. The white device has several ports on the back, including a power port, USB ports, and an Ethernet port. There are also two wall outlets visible in the image.
### Intended Use:
The M01 System is a hand-held X-ray system designed to aid clinicians with point of care visualization through diagnostic X-rays of extremities.
#### Indications for Use:
The Micro C Medical Imaging System, M01 is a handheld and portable general purpose X-ray system that is indicated for use by qualified/trained clinicians on adult and pediatric patients for taking diagnostic static and serial radiographic exposures of extremities.
The device is not intended to replace a radiographic system that has both variable tube current and voltages (kVp) in the range that may be required for full optimization of image quality and radiation exposure for different exam types.
#### Technological Characteristics
The Micro C Medical Imaging System, M01 is identical to the predicate device cleared via K211473. The purpose of this submission is to update the software to include AiLARA modes as described below. The table below compares the subject and predicate device.
| | Subject Device:<br>Micro C Medical Imaging<br>System, M01 | Predicate Device: Micro<br>C Medical Imaging<br>System, M01 (K211473) | Comparison |
|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | IZL (Mobile X-Ray<br>System) | IZL (Mobile X-Ray<br>System) | Identical |
| Regulation | 21 CFR 892.1720 | 21 CFR 892.1720 | Identical |
| Classification<br>Name | Mobile X-Ray System | Mobile X-Ray System | Identical |
| Classification | Class 2 | Class 2 | Identical |
| Indication for<br>Use | The Micro C Medical<br>Imaging System, M01 is a<br>handheld and portable<br>general purpose X-ray<br>system that is indicated<br>for use by | The Micro C Medical<br>Imaging System, M01 is<br>a handheld and<br>portable general<br>purpose X-ray system<br>that is indicated for use | Identical |
| Subject Device:<br>Micro C Medical Imaging<br>System, M01 | Predicate Device: Micro<br>C Medical Imaging<br>System, M01 (K211473) | Comparison | |
| qualified/trained<br>clinicians on adult and<br>pediatric patients for<br>taking diagnostic static<br>and serial radiographic<br>exposures of extremities.<br>The device is not<br>intended to replace a<br>radiographic system that<br>has both variable tube<br>current and voltages<br>(kVp) in the range that<br>may be required for full<br>optimization of image<br>quality and radiation<br>exposure for different<br>exam types. | by qualified/trained<br>clinicians on adult and<br>pediatric patients for<br>taking diagnostic static<br>and serial radiographic<br>exposures of<br>extremities.<br>The device is not<br>intended to replace a<br>radiographic system<br>that has both variable<br>tube current and<br>voltages (kVp) in the<br>range that may be<br>required for full<br>optimization of image<br>quality and radiation<br>exposure for different<br>exam types. | | |
| Contraindications | Surgical applicationsPediatric patientsFluoroscopyFor cardiac and vascular applicationsMammographyDental applicationsContact with non-intact skin | Surgical applicationsPediatric patientsFluoroscopyFor cardiac and vascular applicationsMammographyDental applicationsContact with non-intact skin | Identical |
| Age of Device Use | Adults and Pediatric | Adults and Pediatric | Identical |
| Principle of Operation | General purpose diagnostic X-ray | General purpose diagnostic X-ray | Identical |
| Image type produced | Static, serial radiographic<br>and photographic images<br>for convenience. | Static, serial<br>radiographic and<br>photographic images for<br>convenience. | Identical |
| Detector | 6 x 6" digital detector | 6 x 6" digital detector | Identical |
| Collimator | The removable fixed<br>collimators (referred to<br>as pucks) | The removable fixed<br>collimators (referred to<br>as pucks) | Identical |
| Weight | Emitter: 2.86kg (6.3lbs) | Emitter: 2.86kg (6.3lbs) | Identical |
| | Subject Device:<br>Micro C Medical Imaging<br>System, M01 | Predicate Device: Micro<br>C Medical Imaging<br>System, M01 (K211473) | Comparison |
| Dimension/<br>Size | Cassette: 6.5kg (14.3lbs)<br>Control Unit: 8.6kg<br>(19.0lbs)<br>Emitter: 9.3"H x 3.5"W x<br>8.3"L (excluding SSD<br>Cone)<br>Cassette: 15.5"H x<br>15.5"W x 2.8"L<br>Control Unit: 16.4"H x<br>12.9"W x 5.5"L | Cassette: 6.5kg (14.3lbs)<br>Control Unit: 8.6kg<br>(19.0lbs)<br>Emitter: 9.3"H x 3.5"W x<br>8.3"L (excluding SSD<br>Cone)<br>Cassette: 15.5"H x<br>15.5"W x 2.8"L<br>Control Unit: 16.4"H x<br>12.9"W x 5.5"L | Identical |
| Triggering<br>Mechanism | Two stage triggering | Two stage triggering | Identical |
| Minimum<br>Source to<br>skin distance<br>(SSD) | 20 cm SSD Cone ensures<br>minimum SSD of 20 cm | 20 cm SSD Cone ensures<br>minimum SSD of 20 cm | Identical |
| Source to<br>Detector<br>distance | 20 - 45 cm | 20 - 45 cm | Identical |
| Light Field | Virtual light field on<br>Monitor UI. No projected<br>light field. | Virtual light field on<br>Monitor UI. No<br>projected light field. | Identical |
| Energy<br>Source | 120 VAC / 60 Hz (no<br>rechargeable battery) | 120 VAC / 60 Hz (no<br>rechargeable battery) | Identical |
| Exposure<br>Time | 33 ms - 99 ms | 33 ms, 66 ms, 99 ms | Similar- The overall range is<br>identical. Single AiLARA<br>mode allows for ms values<br>throughout the range. Serial<br>AiLARA mode has a fixed<br>output of 33 ms. |
| mA | 1.0 mA fixed | 1.0 mA fixed | Identical |
| kVp | 40kVp-60kVp | 40kVp, 50kVp, and<br>60kVp | Similar- The overall range is<br>identical. AiLARA allows for<br>kVp values throughout the<br>range. |
| Scintillator<br>Resolution/<br>Pixel size | Cesium lodide (CsI)<br>99 μm | Cesium Iodide (Csl)<br>99 μm | Identical |
| DQE @<br>0Lp/mm<br>MTF @ 1<br>Lp/mm,<br>RQA5 | 70%<br>60% | 70%<br>60% | Identical |
| | Subject Device:<br>Micro C Medical Imaging<br>System, M01 | Predicate Device: Micro<br>C Medical Imaging<br>System, M01 (K211473) | Comparison |
| Ingress<br>Protection<br>Rating | IPOO | IPOO | Identical |
| Image<br>Processing | User Interface can be<br>used to drag, zoom,<br>rotate and also adjust<br>brightness, contrast, and<br>sharpness. | User Interface can be<br>used to drag, zoom,<br>rotate and also adjust<br>brightness, contrast,<br>and sharpness. | Identical |
| Connectivity<br>Options | WiFi, Ethernet, Four USB<br>2.0 ports | WiFi, Ethernet, Four<br>USB 2.0 ports | Identical |
| DICOM | Yes- DICOM 3.0<br>Compliant | Yes- DICOM 3.0<br>Compliant | Identical |
| Device<br>Package<br>Contents | • Cassette<br>• Control Unit<br>• Emitter<br>• Collimation Pucks<br>• SSD Cone<br>• Cassette Power<br>Cable<br>• Cassette Data Cable<br>• Control Unit Power<br>Cable<br>• Connector Covers<br>• Instructions for Use<br>• Case | • Cassette<br>• Control Unit<br>• Emitter<br>• Collimation Pucks<br>• SSD Cone<br>• Cassette Power<br>Cable<br>• Cassette Data Cable<br>• Control Unit Power<br>Cable<br>• Connector Covers<br>• Instructions for Use<br>• Case | Identical |
### Table 5-2: Device Comparison
{6}------------------------------------------------
{7}------------------------------------------------
{8}------------------------------------------------
### AiLARA Software
The purpose of this Traditional 510(k) is to update the Micro C Medical Imaging System, M01 software to include two additional modes of use referred to as AiLARA is a static artificial intelligence (AI) based algorithm in the updated software. AiLARA adds two additional modes for the M01 device: Single AiLARA and Serial AiLARA. In these modes, the device determines and recommends a power setting and an exposure time for the X-ray without user input. This mode may help ensure that a clinically relevant image is taken and reduce overexposures and retaking of images.
The Micro C software, including the new AiLARA algorithm, has a Moderate level of concern per with Guidance for Industry and FDA Staff – Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (2005); software developmentation was provided in accordance with the guidance. There was no change to the Micro C software level of concern with the addition of the AiLARA algorithm. The software development lifecycle followed IEC 62304:2015, Medical device software – Software life cycle processes. Risk analysis to address the new algorithm was performed in accordance with ISO 14971:2019, Medical Devices – Application of Risk Management to Medical Devices.
{9}------------------------------------------------
### Section 5 510(k) Summary
### Non-Clinical Performance Data
Testing specific to the Micro C software with AiLARA modes was performed and included with the 510(k) submission:
| Performance Test | Description |
|--------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| AiLARA Algorithm<br>Verification | AiLARA's full development dataset was split into a training set (80% of<br>the data) and a testing set for algorithm verification (20% of the data)<br>per Good Machine Learning Practices as outlined in FDA's Proposed<br>Regulatory Framework for Modifications to Artificial<br>intelligence/Machine Learning (AI/ML) Based Software as a Medical<br>Device (SaMD)(2019). AiLARA's model was trained, and at the end of<br>every epoch, the full testing set was sent into the model and was<br>predicted to show the model's performance on unseen data. The model<br>was able to learn the trend of the training dataset (truth). The mean<br>squared error of the training and verification testing datasets were<br>plotted, and the trend lines showed that the model had learned the<br>general trend present in the data. Both training and testing Mean<br>Squared Error and Mean Absolute Error showed that additional training<br>(epochs) would have no added benefit. |
| Software Verification | Software verification was performed to ensure the updated Micro C<br>software met system-level software requirements. Software outputs<br>met the expected result in all cases, with no anomalies found. |
| Image Quality Validation<br>Study | An image quality study validation dataset was collected after the<br>AiLARA algorithm was frozen, finalized, and transferred to the Micro C<br>device. This validation set was completely independent of the algorithm<br>training and verification testing set. The emitter can move freely in<br>space (not attached to the detector), therefore the validation images<br>were collected with independent inputs that the algorithm had not<br>seen previously. The independent inputs were achieved by taking<br>images of phantoms at different emitter orientations and angles<br>(geometries). The validation dataset included images taken from ankle,<br>elbow, hand, foot, knee, toe, and wrist phantoms; each phantom was<br>captured at multiple distinct SIDs that spanned the full device SID range<br>of 20 cm to 45 cm. Additionally, each phantom view/SID combination<br>was captured at multiple orientations. Once the validation images were<br>collected, the images were reviewed and rated by board certified<br>radiologists and an orthopedic surgeon. All images were determined to<br>be diagnostically and clinically relevant. |
| Radiation Dose Testing | AiLARA technique and dose evaluation testing was performed to<br>evaluate AiLARA mode's radiation outputs as compared to diagnostic<br>reference levels from literature, to ensure an acceptable amount of<br>radiation was delivered. Additionally, AiLARA's dose outputs from the<br>auto-selected techniques were compared to the predicate device's<br>manual mode dose outputs that result from the techniques<br>recommended in the Instructions for Use. Results showed that all<br>AiLARA dose values were below the established Diagnostic Reference |
| Radiation Dose Testing on<br>Small/Pediatric Anatomies | Levels (DRLs) and there was no statistical difference between AiLARA and Manual mode calculated entrance skin exposure doses.<br>Testing was conducted to evaluate AiLARA's radiation outputs for small size extremity anatomies (representing low thicknesses seen for small patients, especially pediatrics) as compared to diagnostic reference levels from literature to ensure an acceptable amount of radiation was delivered. This study also included recording dose outputs at different Source to Image Distance (SID) and emitter orientation configurations to ensure doses are consistently acceptable at various emitter orientations and small anatomy thicknesses. Results showed that all AiLARA dose values were below the established Diagnostic Reference Levels (DRLs) for small size anatomies, and doses were similar among captures for each orientation within the same target thickness and SID category. |
| Usability Evaluation | A usability evaluation was performed for the addition of the AiLARA modes for single radiography and serial radiography (DDR) imaging to ensure the Micro C Medical Imaging System, M01 has acceptable use-related risks and effectiveness during use. The study included 15 participants who were licensed to perform x-ray procedures and had previous experience operating x-ray devices. All the identified critical use tasks were completed with a passing result by 100% of participants. The usability evaluation was performed in accordance with IEC 62366-1:2020, Medical devices - Part 1: Application of usability engineering to medical devices and Guidance for Industry and FDA Staff – Applying Human Factors and Usability Engineering to Medical Devices (2016) |
#### Table 5-3: Non-Clinical Performance Data
{10}------------------------------------------------
In addition, the following specific FDA guidance documents were utilized in the device development to ensure the safety of this device for both the operators and patients:
- Guidance for Medical X-ray Imaging Devices Conformance with IEC Standards (2019) ●
- Guidance for the Submission of 510(k)s for Solid State X-ray Imaging Devices (2016)
- Radiation Safety Considerations for X-ray Equipment Designed for Hand-held Use (2008)
- Pediatric Information for X-ray Imaging Device Premarket Notifications (2017)
# Clinical Performance Data
Non-clinical data generated using imaging phantoms representative of the intended patient populations was sufficient to support the updates to the Micro C device software; no clinical studies were performed. The determination of substantial equivalence is not based on an assessment of clinical performance data.
# Conclusion
The Micro C Medical Imaging System, M01 is identical in physical design to the legally marketed predicate device. The updated software is acceptable as demonstrated by the performance data and does not raise different questions of safety and effectiveness.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.