Dice 0.93 (95% CI 0.92-0.94); 95% HD 2.85 mm (95% CI 1.82-4.12 mm)
—
—
Independent U.S. test dataset of MRI-T1 scans
3 (US neurosurgeons)
Brain segmentation
nnUnet
Dice > 0.90; 95% HD <= 10 mm
Dice 0.96 (95% CI 0.95-0.97); 95% HD 5.88 mm (95% CI 4.75-8.39 mm)
—
—
Independent U.S. test dataset of MRI-T1 scans
3 (US neurosurgeons)
Skin segmentation
nnUnet
Dice > 0.90; 95% HD <= 10 mm
Dice 0.99 (95% CI 0.99-0.1); 95% HD 3.36 mm (95% CI 0.99-5.51 mm)
—
—
Independent U.S. test dataset of MRI-T1 scans
3 (US neurosurgeons)
Ventricle segmentation
nnUnet
Dice > 0.85; 95% HD <= 10 mm
Dice 0.89 (95% CI 0.85-0.91); 95% HD 1.93 mm (95% CI 1.70-2.92 mm)
—
—
Independent U.S. test dataset of MRI-T1 scans
3 (US neurosurgeons)
Indications for Use
The LumiNE US software is intended for the visualization of medical images to provide insights in anatomy and pathology in preparation of surgical treatment. As such, the software allows for the conversion of 2D patient imaging into 3D models and for the visualization of 2D and 3D patient imaging including Augmented Reality. When accessing the LumiNE US software from a wireless Head-Mounted Display (HMD) or PC monitor, images viewed are for informational purposes only and not intended for diagnostic use. The LumiNE US software is intended for use by a (neuro)surgical resident or a medical professional that is qualified by a hospital to prepare medical imaging for surgeons. For the conversion of medical imaging into 3D models, Magnetic Resonance Imaging (MRI) and/or Computed Tomography (CT) imaging of adult patients are required. The LumiNE US software is intended to be used for visualization of surgery, and not for diagnostic use. Therefore, segmentation and visualization of tumors or any other pathology can only be used for previously known and pre-diagnosed conditions. LumiNE US can only be used for contrast-enhanced T1 MR scans (sem-automatic segmentation of known tumor, skin, brain, and ventricles), or for CT scans (threshold-based segmentation). The LumiNE US MRI T1 tumor segmentation function can only be used in case of a single intracranial contrast enhancing tumor, diagnosed by a neuroradiologist or a neurosurgeon, with a minimal volume of 2.0 cc (0.1 in3) and a minimal diameter in any direction of 15 mm (0.6 inch), and a maximum volume of 100cc (6.1 in3) and a maximal diameter in any direction of 75 mm (3.0 inch).
Device Story
LumiNE US is a software-based medical image management and processing system for surgical planning. It ingests 2D DICOM imaging (MRI/CT) and transforms it into 3D models via semi-automatic (MRI) or threshold-based (CT) segmentation. The device utilizes non-adaptive machine learning algorithms (nnUnet architecture) for T1-weighted MRI segmentation. Outputs are visualized as 3D models or Augmented Reality (AR) via a wireless Head-Mounted Display (HMD) or PC monitor. Used by neurosurgeons or qualified medical professionals in clinical settings to assist in surgical preparation. The system provides anatomical insights for pre-diagnosed conditions; it does not provide diagnostic outputs. Benefits include enhanced visualization of patient-specific anatomy and pathology, facilitating surgical planning and communication. The device supports remote and co-located sharing of 3D models and annotations.
Clinical Evidence
No clinical trials; performance validated via non-clinical bench testing. Segmentation accuracy (T1cSF) evaluated on an independent U.S. dataset (n=scans meeting inclusion criteria). Primary endpoints: Dice Similarity Coefficient (DSC) and 95% Hausdorff Distance (95% HD). Results: Median DSC for brain (0.96), skin (0.99), tumor (0.93), and ventricles (0.89) exceeded acceptance criteria (0.80–0.90). 95% HD results for all structures were below acceptance thresholds (10–15 mm). Usability confirmed via Moderated Task Analysis (MTA). Visual quality of HMD verified against IEC 63145-20-20/10 standards.
Technological Characteristics
Software-based image processing system. Cloud-based storage and processing; client-side visualization via Microsoft HoloLens 2 or web browser. Segmentation: nnUnet-based machine learning (non-adaptive) for MRI; threshold-based for CT. Connectivity: Wireless encrypted connection. Standards: ISO 13485, ISO 14971, EN 62304. Data formats: DICOM, STL, GLTF, PDF, JPEG, PNG.
Indications for Use
Indicated for adult patients (age 22+) requiring visualization of medical images for surgical planning. Supports contrast-enhanced T1 MRI (semi-automatic segmentation of tumor, skin, brain, ventricles) and CT scans (threshold-based segmentation). Tumor segmentation restricted to single intracranial contrast-enhancing lesions (Glioblastoma, Meningioma, Metastasis) with volume 2.0–100 cc and diameter 15–75 mm. Not for diagnostic use.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Augmedit B.V. Claartje Ypma CEO Galerij 15 Naarden, Noord-Holland 1411 LH Netherlands
September 10, 2024
Re: K240094
LumiNE US: Lumi Trade/Device Name: Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: QIH Dated: January 12, 2024 Received: August 1, 2024
Dear Claartje Ypma:
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/cfpm/pm.cfm identifies combination product submissions. The general controls 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.
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 System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and
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production (21 CFR 820.30 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 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-regulatoryinformation/postmarketing-safety-reporting-combination-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 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-device-advice-comprehensive-regulatory-assistance/unique-deviceidentification-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-device-safety/medical-device-reporting-mdr-how-report-medicaldevice-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/deviceadvice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuingeducation/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/deviceadvice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
Jessica Lamb
Jessica Lamb, PhD Assistant Director, Imaging Software Team DHT8B: Division of Radiologic Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
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## Indications for Use
510(k) Number (if known) K240094
Device Name LumiNE US
## Indications for Use (Describe)
The LumiNE US software is intended for the visualization of medical images to provide insights in anatomy and pathology in preparation of surgical treatment. As such, the software allows for the conversion of 2D patient imaging into 3D models and for the visualization of 2D and 3D patient imaging including Augmented Reality. When accessing the LumiNE US software from a wireless Head-Mounted Display (HMD) or PC monitor, images viewed are for informational purposes only and not intended for diagnostic use.
The LumiNE US software is intended for use by a (neuro)surgical resident or a medical professional that is qualified by a hospital to prepare medical imaging for surgeons. For the conversion of medical imaging into 3D models, Magnetic Resonance Imaging (MRI) and/or Computed Tomography (CT) imaging of adult patients are required. The LumiNE US software is intended to be used for visualization of surgery, and not for diagnostic use. Therefore, segmentation and visualization of tumors or any other pathology can only be used for previously known and pre-diagnosed conditions.
LumiNE US can only be used for contrast-enhanced T1 MR scans (sem-automatic segmentation of known tumor, skin, brain, and ventricles), or for CT scans (threshold-based segmentation).
The LumiNE US MRI T1 tumor segmentation function can only be used in case of a single intracranial contrast enhancing tumor, diagnosed by a neuroradiologist or a neurosurgeon, with a minimal volume of 2.0 cc (0.1 in3) and a minimal diameter in any direction of 15 mm (0.6 inch), and a maximum volume of 100cc (6.1 in3) and a maximal diameter in any direction of 75 mm (3.0 inch).
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) |
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# 510(k) Summary
| Contact Information | |
|-------------------------|------------------------------------------------|
| Company name: | Augmedit B.V. |
| Company owner: | Mrs. Claartje Ypma |
| Function: | CEO |
| Address: | Galerij 15, 1411 LH Naarden, The Netherlands |
| Telephone: | +31 617 1010 94 |
| Name of contact person: | Mr. Bryan Bhoelai |
| Function: | Regulatory Affairs & Quality Assurance Manager |
| Email: | bryan@augmedit.com |
| Summary date: | September 10, 2024 |
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# Contents
| 1 | | Subject Device Names | |
|---|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--|
| വ | | Predicate Device Information | |
| ന | Description of the Device | | |
| | 4 Indications for Use | | |
| ഗ | | Substantial Equivalence Comparison Summary | |
| | 5.1 | Substantial equivalence comparison table…………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………… | |
| | 5.2 | Similarities between the Subject Device and the Predicate Device | |
| | | 5.3 Differences between the Subject Device and the Predicate Device | |
| | | 6 Summary of Performance Testing | |
| 7 | | Validation of Machine Learning Algorithms | |
| | | 8 Application of Standards | |
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#### 1 Subject Device Names
Name of device: LumiNE US Trade name: LumiNE US, Lumi
#### Predicate Device Information N
Trade or proprietary or model name: VSI Holomedicine Original Applicant: ApoQlar GmbH 510(k) Number: K213215 Regulation Number: 21 CFR 892.2050
#### Description of the Device ന
LumiNE US is a software device for the visualization of medical images to provide insights in anatomy and pathology in preparation of surgical treatment. As such, the software allows for the conversion of 2D patient imaging into 3D models and for the visualization of 2D and 3D patient imaging including Augmented Reality. When accessing the LumiNE US software from a wireless Head-Mounted Display (HMD) or PC monitor, images viewed are for informational purposes only and not intended for diagnostic use. Applicable pathology includes scans with known intracranial lesions that are diagnosed as Glioblastoma, Meninqioma, or Metastasis by a neurosurgeon or neuroradiologist.
#### 4 Indications for Use
The LumiNE US software is intended for the visualization of medical images to provide insights in anatomy and pathology in preparation of surgical treatment. As such, the software allows for the conversion of 2D patient imaging into 3D models, and for the visualization of 2D and 3D patient imaging including Augmented Reality. When accessing the LumiNE US software from a wireless Head-Mounted Display (HMD) or PC monitor, images viewed are for informational purposes only and not intended for diaqnostic use.
The LumiNE US software is intended for use by a (neuro)surqical resident or a medical professional that is qualified by a hospital to prepare medical imaging for surgeons. For the conversion of medical imaging into 3D models, Magnetic Resonance Imaging (MRI) and/or Computed Tomography (CT) imaging of adult patients are required. The LumiNE US software is intended to be used for visualization in preparation of surqery, and not for diagnostic use. Therefore, seqmentation and visualization of tumors or any other pathology can only be used for previously known and pre-diagnosed conditions.
LumiNE US can only be used for contrast-enhanced T1 MR scans (semi-automatic segmentation of known tumor, skin, brain, and ventricles), or for CT scans (threshold-based segmentation).
The LumiNE US MRI T1 tumor segmentation function can only be used in case of a single intracranial contrast enhancing tumor, diagnosed by a neuroradiologist or a neurosurgeon, with a minimal volume of 2.0 cc (0.1 in3) and a minimal diameter in any direction of 15 mm (0.6 inch), and a maximum volume of 100cc (6.1 in3) and a maximal diameter in any direction of 75 mm (3.0 inch).
#### ഗ Substantial Equivalence Comparison Summary
#### 5.1 Substantial equivalence comparison table
The following table provides a comparison of the subject device's characteristics and functionality with respect to the identified predicate device.
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| Device<br>characteristics | Subject device | Predicate device | Comparison analysis |
|--------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Device name | LumiNE US | VSI Holomedicine | N/A |
| 510(k) number | K240094 | K213215 | N/A |
| Manufacturer | Augmedit B.V. | apoQlar GmbH | N/A |
| Medical specialty | Radiology | Radiology | Identical |
| CFR Reference | 21 CFR 892.2050 | 21 CFR 892.2050 | Identical |
| Device classification<br>name | Medical Image management<br>and Processing System | Medical Image management<br>and Processing System | Identical |
| Common name | Automated Radiological<br>Image Processing Software | Radiological Image Processing<br>System | Substantially equivalent,<br>the subject device has a<br>more specific common<br>name because of the<br>presence of nonadaptive<br>machine learning<br>algorithms. |
| Product code | QIH | LLZ | Substantially equivalent,<br>the subject device has a<br>more specific product code<br>because of the presence of<br>nonadaptive machine<br>learning algorithms. |
| Intended use/<br>Indications for use | The LumiNE US software is<br>intended for the<br>visualization of medical<br>images to provide insights in<br>anatomy and pathology in<br>preparation of surgical<br>treatment. As such, the<br>software allows for the<br>conversion of 2D patient<br>imaging into 3D models, and<br>for the visualization of 2D<br>and 3D patient imaging<br>including Augmented Reality.<br>When accessing the LumiNE<br>US software from a wireless<br>head-mounted display (HMD)<br>or PC monitor, images<br>viewed are for informational<br>purposes only and not<br>intended for diagnostic use.<br>The LumiNE US software is<br>intended for use by a<br>(neuro)surgeon,<br>(neuro)surgical resident or a<br>medical professional that is<br>qualified by a hospital to<br>prepare medical imaging for<br>surgeons. For the conversion<br>of medical imaging into 3D<br>models, Magnetic Resonance<br>Imaging (MRI) and/or<br>Computed Tomography (CT)<br>imaging of adult patients are<br>required. The LumiNE US<br>software is intended to be<br>used for visualization in<br>preparation of surgery, and<br>not for diagnostic use.<br>Therefore, segmentation and<br>visualization of pathology<br>can only be used for<br>previously known and pre-<br>diagnosed conditions.<br>LumiNE US can only be used<br>for contrast-enhanced T1 MR<br>scans (semi-automatic<br>segmentation of known | VSI HoloMedicine® is a<br>software device for displaying<br>digital medical images<br>acquired from CT, Angio CT,<br>MRI, CBCT, PET, and SPECT<br>sources. It is intended to<br>visualize 3D imaging<br>holograms of the patient for<br>pre-operative planning outside<br>and/or inside the surgical<br>room.<br>When accessing VSI<br>HoloMedicine® from a wireless<br>head-mounted display (HMD)<br>or PC monitor, images viewed<br>are for informational purposes<br>only and not intended for<br>diagnostic use. VSI<br>HoloMedicine® is indicated for<br>use by qualified healthcare<br>professionals including<br>surgeons, radiologists,<br>physicians, and technologists. | Substantially equivalent |
| Device<br>characteristics | Subject device | Predicate device | Comparison analysis |
| | tumor, skin, brain, and<br>ventricles), or for CT scans<br>(threshold-based<br>segmentation).<br>The LumiNE US MRI T1<br>tumor segmentation<br>function can only be used in<br>case of a single intracranial<br>contrast enhancing tumor,<br>diagnosed by a<br>neuroradiologist or a<br>neurosurgeon, with a<br>minimal volume of 2.0 cc (0.1<br>in³) and a minimal diameter<br>in any direction of 15 mm<br>(0.6 inch), and a maximum<br>volume of 100cc (6.1 in³)<br>and a maximal diameter in<br>any direction of 75 mm (3.0<br>inch). | | |
| Prescription use | Yes | Yes | Identical |
| Patient population | The device specifically<br>focuses on visualization of<br>medical images and<br>preparation of surgical<br>treatment, for patients at<br>the age of 22 or older | The device is a software<br>which allows for viewing of<br>DICOM data. Therefore, its<br>intended use is without any<br>restrictions regarding patient<br>population | Different, but no impact on<br>safety and effectiveness. |
| Main system<br>components | Cloud based storage of<br>patient data (including<br>anonymizer) and viewer Microsoft HoloLens 2 Browser based<br>(universal) mobile device<br>viewer | Cloud based storage for<br>patient data Microsoft HoloLens 2 Streaming hardware hub<br>to connect image<br>modalities directly to<br>Microsoft HoloLens 2 Anonymizer (for video's) | Substantially equivalent |
| Imaging modality | MRI CT | CT angio CT MRI CBCT PET CT SPECT CT | Substantially equivalent,<br>the subject device uses MRI<br>and CT imaging data, while<br>the predicate device allows<br>to use a broader range of<br>imaging modalities. Thus,<br>the predicate device allows<br>to view more data types in<br>the HoloLens. |
| Data Type Supported | DICOM 3D formats: STL GLTF PDF JPEG PNG | DICOM 3D formats: OBJ, STL PDF JPEG PNG MP4 | Substantially equivalent,<br>both the subject device as<br>well as the predicate device<br>support DICOM imaging as<br>well as 3D format types.<br>The predicate device<br>additionally supports data<br>types which allow video<br>streaming. |
| | 3D view in web browser | General manipulation in<br>HoloLens (grab, move, | Substantially equivalent: |
| Device<br>characteristics | Subject device | Predicate device | Comparison analysis |
| Image<br>view/manipulation | Fusion of 3D objects with source image data (web browser and Microsoft HoloLens 2) General manipulation in HoloLens (grab, move, zoom, hide, change color etc.) Surgical preparation tools which allow markings on 3D models in Microsoft HoloLens 2 Sharing (remote and co-located) | zoom, hide, change color etc.) Surgical Preparation Tools (draw, measure, etc). Sharing (remote, but not co-located). | Both the predicate device and Lumi enable marking on 3D models in HMD for planning purposes. Lumi allows for saving revisions on 3D models (both web and Microsoft HoloLens 2) Lumi allows validation of 3D models. |
| Communication<br>between headset and<br>computer | Web browser (computer) and Microsoft HoloLens 2 connect to cloud environment. Wireless encrypted connection with Microsoft HoloLens 2. | Web browser (computer) and Microsoft HoloLens 2 connect to cloud environment. Wireless encrypted connection with Microsoft HoloLens 2. Hardware to stream data from image acquisition system directly to Microsoft HoloLens 2. | Substantially equivalent, VSI uses additional hardware to connect to image acquisition systems. Communication for both the subject as well as the predicate device is wireless, and data encrypted. |
| MPR viewing | Yes, for CT, MRI | This viewing feature enables the display of CT, MRI, CBCT, Angio CT, PET CT and SPECT CT images into axial, coronal and sagittal orientations | Substantially equivalent for CT and MRI. |
| 3D Volume rendered<br>viewing | 3D volume rendering in web browser. Option to create manual segmentation to visualize results in Microsoft HoloLens 2. | 3D perspective views of CT, MRI, CBCT, Angio CT, PET CT and SPECT CT images sets that have been transformed into volumes. It also provides presets to enable users to alter the visualization parameters of the 3D views to highlight features. | Different, but no impact on safety and effectiveness. Both the subject as well as predicate device present 2D imaging information in 3D, however, the predicate device does not include image segmentation functionality. |
| Surgical planning | Creating and saving of 3D models and marks thereon on HMD for planning purposes. | Saving and loading configurations of medical images, marks, and 3D models on HMD.<br>Ability to save and load combinations and arrangement of objects displayed in the 3D space on HoloLens for planning purposes.<br>Possibility to create annotation like drawings. | Substantially equivalent |
| Transmission modes | Web browser (computer) and Microsoft HoloLens 2 connect | Web browser (computer) and Microsoft HoloLens 2 connect | Substantially equivalent |
| Device<br>characteristics | Subject device | Predicate device | Comparison analysis…
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Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
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.