ImmersiveTouch is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an output file. ImmersiveTouch is also intended for measuring and treatment planning. ImmersiveTouch output can be used for the fabrication of physical replicas of the output file using traditional or additive manufacturing methods. The physical replicas generated from digital output files are not for diagnostic purpose. ImmersiveTouch should be used in conjunction with expert clinical judgment.
Device Story
ImmersiveTouch is a stand-alone modular software package for medical image processing. It imports DICOM medical images; visualizes data in axial, coronal, and sagittal views; performs image segmentation to create 3D models; and allows for measurements and treatment planning (e.g., cutting planes, moving objects). The device exports files for additive manufacturing (3D printing) of physical replicas. Used by clinicians for treatment planning; output is not for diagnostic use. Benefits include enhanced visualization and planning capabilities for patient-specific anatomical models.
Clinical Evidence
Bench testing only. Software verification and validation performed per FDA guidance. Studies included: 1) Measurement study evaluating inter-user and intra-user variability; 2) Segmentation study visually comparing models against the predicate; 3) Output study comparing exported models from CT scans. All studies met pre-established acceptance criteria, demonstrating performance equivalence to the predicate device.
Technological Characteristics
Stand-alone modular software package. Inputs: DICOM medical images. Outputs: Digital 3D models for additive manufacturing. Functions: Visualization (axial, coronal, sagittal), segmentation, measurement, and treatment planning. Connectivity: Import/export of medical imaging files. Software-based processing.
Indications for Use
Indicated for use as a software interface and image segmentation system for medical imaging information transfer, measurement, and treatment planning. Not for diagnostic purposes. Prescription use only.
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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Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
ImmersiveTouch, Inc. % P. Pat Banerjee, Ph.D. CEO 910 W. Van Buren St. Suite 715 CHICAGO IL 60607
September 29, 2021
Re: K210726
Trade/Device Name: ImmersiveTouch Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: August 20, 2021 Received: August 24, 2021
Dear Dr. Banerjee:
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/cfpmp/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 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
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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 medical devices and radiation-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,
For
Thalia T. Mills, Ph.D. Director 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
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# Indications for Use
510(k) Number (if known) K210726
Device Name ImmersiveTouch
#### Indications for Use (Describe)
ImmersiveTouch is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an output file. ImmersiveTouch is also intended for measuring and treatment planning. ImmersiveTouch output can be used for the fabrication of physical replicas of the output file using traditive manufacturing methods. The physical replicas generated from digital output files are not for diagnostic purpose.
ImmersiveTouch should be used in conjunction with expert clinical judgment.
| Type of Use (Select one or both, as applicable) |
|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <div style="display:flex; align-items:center;"> <span> <span style="font-size:16px;">☑</span> </span> <span>Prescription Use (Part 21 CFR 801 Subpart D)</span> </div> |
| <div style="display:flex; align-items:center;"> <span> <span style="font-size:16px;">☐</span> </span> <span>Over-The-Counter Use (21 CFR 801 Subpart C)</span> </div> |
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Image /page/3/Picture/0 description: The image shows the logo for ImmersiveTouch. The logo consists of an orange swirl shape on the left, followed by the text "ImmersiveTouch" in a combination of gray and orange. The "Touch" part of the name is in orange, and there is a registered trademark symbol next to it.
# 510K Summary K210726
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Image /page/4/Picture/0 description: The image shows the logo for ImmersiveTouch. The logo consists of an orange swirl with a gray ring around it, followed by the word "Immersive" in gray and "Touch" in orange. There is a registered trademark symbol to the right of the word "Touch".
Contact Person: Dr. P. Pat Banerjee
Date Prepared: September 27th, 2021
## Name of Device and Classification Name
Device Name: ImmersiveTouch Regulation Name: Medical image management and processing system Regulation Number: 21 CFR 892.2050 Regulation Class: Class II Product Code: LLZ
## Predicate Device
ImmersiveTouch is claimed to be substantially equivalent to Mimics Medical (K183105).
| Device Name: | Mimics Medical |
|--------------------|---------------------------------------------|
| Regulation Name: | Picture archiving and communications system |
| Regulation Number: | 21 CFR 892.2050 |
| Regulation Class: | Class II |
| Product Code: | LLZ |
## Indications for Use
ImmersiveTouch is intended for use as a software interface and image segmentation system for the transfer of medical imaging information to an output file. ImmersiveTouch is also intended for measuring and treatment planning.
ImmersiveTouch output can be used for the fabrication of physical replicas of the output file using traditional or additive manufacturing methods. The physical replicas generated from digital output files are not for diagnostic purpose.
ImmersiveTouch should be used in conjunction with expert clinical judgment.
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Image /page/5/Picture/0 description: The image shows the logo for ImmersiveTouch. The logo features a stylized orange arc with a gray arc intersecting it. To the right of the graphic is the company name, with "Immersive" in gray and "Touch" in orange. There is a registered trademark symbol to the right of the word "Touch".
# Device Description
ImmersiveTouch is a stand-alone modular software package that allows user to import, visualize and segment medical images to create accurate 3D representations. The 3D models can be utilized in ImmersiveTouch for measuring, treatment planning and output file to be further used as an input for additive manufacturing.
This modular package includes, but is not limited to the following functions:
- * Importing medical images in DICOM format for visualization, segmentation, and analysis.
- * Viewing of medical imaging data in the axial. coronal and sagittal views.
- * Calculating a digital 3D model and editing the model.
- Measurements on 3D models. *
- * Treatment Planning on 3D models with cutting planes and the ability to move cut objects.
- * File export for 3D Printing.
## Comparison of Technological Characteristics with the Predicate Device
The ImmersiveTouch software employs similar fundamental technologies as the identified predicate devices, including:
- * The subject and predicate device share similar image segmentation functionalities.
- * The subject and predicate device both have similar abilities to process, review and analyze medical imaging data
- The subject and predicate device both generate an output file *
# The following technological differences exist between the subject and predicate devices:
- * The inputs to the subject device are equivalent to a subset of the inputs of the predicate device.
- * The outputs to the subject device are equivalent to a subset of the outputs of the predicate device.
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Image /page/6/Picture/0 description: The image shows the logo for ImmersiveTouch. The logo consists of an orange swirl and a gray swirl on the left side of the text. The text "ImmersiveTouch" is written in a sans-serif font, with "Immersive" in gray and "Touch" in orange.
# Performance Data
### Software Verification and Validation Testing
Software verification and validation testing were conducted, and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices."
This includes verification against defined requirements, and validation against user needs. Both enduser validation and bench testing were performed.
Software verification and validation includes:
- * Verification of each independent software subsystem against defined requirements.
- * Verification of interfaces between software subsystems against defined requirements.
- Validation of fully integrated systems including all subsystems against overall system * requirements.
### Measurements Study
The purpose of the study was to evaluate, measure and compare the inter user variability between measurements taken by multiple users in the subject device. Comparison of the inter and intra user measurements showed that all measurements fell within the set acceptance criteria.
### Segmentation Study
The purpose of the study was to visually compare segmentation models created by both the subject and predicate devices. The results were validated by subject matter experts. The comparison showed similarity in all models.
### Output Study
The purpose of the study was to evaluate, measure and compare the exported models that were created using the subject and predicate device from a CT scan. Comparison between the exported models of both software systems revealed that all measurements fell within the set acceptance criteria.
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Image /page/7/Picture/0 description: The image shows the logo for ImmersiveTouch. The logo consists of an orange abstract shape on the left, resembling a stylized letter 'A' or a curved arrow, with a gray arc intersecting it. To the right of the shape is the text "ImmersiveTouch", with "Immersive" in gray and "Touch" in orange. A small registered trademark symbol is located to the upper right of the word "Touch".
## Summary
The performance data indicates that the verification and validation testing performed on ImmersiveTouch software successfully demonstrates conformity to pre-established specifications and acceptance criteria. The acceptance criteria were established to demonstrate device performance and substantial equivalence of the software to the predicate device.
### Conclusions
ImmersiveTouch is substantially equivalent to and is as safe and effective as its predicate device. Both devices incorporate similar inputs, operations, and outputs.
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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.