K173241 · Plum Medical Solutions GmbH · LLZ · Mar 23, 2018 · Radiology
Device Facts
Record ID
K173241
Device Name
MED-TAB
Applicant
Plum Medical Solutions GmbH
Product Code
LLZ · Radiology
Decision Date
Mar 23, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
MED-TAB, is a computer hardware/software device intended for viewing of images acquired from CT, MR, CR, DR, US and other DICOM compliant medical imaging systems. Images and data can be stored, communicated, processed, and displayed within the system and or across computer networks at distributed locations. Mammographic images and digitized film screen images must not be reviewed for primary diagnosis or image interpretation. Mammographic images may only be interpreted using a monitor that meets technical specifications identified by FDA. It is the User's responsibility to ensure monitor quality, ambient light conditions, and image compression ratios are consistent with clinical application.
Device Story
MED-TAB is a 13.3" color IPS LCD tablet computer for viewing/analyzing medical images from PACS. Inputs include DICOM data received via network; device supports DICOM Query (C-FIND) and Retrieve (C-MOVE). Features include DICOM Part 14 factory calibration, brightness stabilization, and ambient light sensor. Physician-operated in clinical settings; provides standard viewing tools (window/level, zoom, pan, measurement, annotation, MPR, MIP). Output is displayed on-screen; device also supports creating textual reports and sending images/messages to colleagues. Does not provide diagnostic assistance; physician interprets images for clinical decision-making. Benefits include mobile access to medical images for review.
Clinical Evidence
Bench testing only. The device underwent factory testing against pre-determined functional requirements and Software Requirements Specification. No clinical data or human subject studies were provided.
Technological Characteristics
13.3" color IPS LCD tablet; 1920x1080 resolution; 11-bit internal processing/8-bit display. Features ambient light sensor and brightness stabilization. Connectivity via DICOM 3.0. Complies with IEC60601-1 and IEC60601-1-2. Software supports Android, iOS, and Windows platforms.
Indications for Use
Indicated for viewing medical images (CT, MR, CR, DR, US, DICOM-compliant) for clinical review. Contraindicated for primary diagnosis or interpretation of mammographic and digitized film screen images.
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).
{0}------------------------------------------------
March 23, 2018
Image /page/0/Picture/1 description: The image contains the logos of the Department of Health and Human Services and the Food and Drug Administration (FDA). The Department of Health and Human Services logo is on the left and features a stylized eagle. The FDA logo is on the right and includes the letters "FDA" in a blue square, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue text.
PLUM Medical Solutions GmbH % Mr. Carl Alletto Consultant OTech Inc. 8317 Belew Drive MCKINNEY TX 75071
Re: K173241
Trade/Device Name: MED-TAB Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: February 21, 2018 Received: March 1, 2018
Dear Mr. Alletto:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
{1}------------------------------------------------
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone
(1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K173241
Device Name MED-TAB
#### Indications for Use (Describe)
MED-TAB, is a computer hardware/software device intended for viewing of images acquired from CT, MR, CR, DR, US and other DICOM compliant medical imaging systems. Images and data can be stored, communicated, processed, and displayed within the system and or across computer networks at distributed locations. Mammographic images and digitized film screen images must not be reviewed for primary diagnosis or image interpretation. Mammographic images may only be interpreted using a monitor that meets technical specifications identified by FDA. It is the User's responsibility to ensure monitor quality, ambient light conditions, and image compression ratios are consistent with clinical application.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
# CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
# *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
This 510(k) Summary of Safety and Effectiveness information is being submitted in accordance with the requirements of SMDA 1990.
Date Prepared:
March 21, 2018
Submitter's Information: 21 CFR 807.92(a)(1) Dr. Arpad Bischof, Managing Director PLUM Medical Solutions GmbH Lange Straße 16 Rostock, Germany 18055 Phone: +49 381 496 58 280 Fax: +49 381 496 58 299 Email: bischof@image-systems.biz
Trade Name, Common Name and Classification: 21 CFR 807.92(a)(2)
| Trade Name: | MED-TAB |
|----------------------|-----------------------------------------|
| Common Name: | Picture Archiving Communications System |
| Classification Name: | system, image processing, radiological |
| Product code: | LLZ |
| Classification Name: | display, diagnostic radiology |
| Product Code: | PGY |
Predicate Device: 21 CFR 807. 92(a)(3)
| Device Classification Name | system, image processing, radiological22 | |
|------------------------------|------------------------------------------|--|
| 510(k) Number | K062488 | |
| Device Name | IQ-SYSTEM PACS SYSTEM | |
| Applicant | IMAGE INFORMATION SYSTEMS, LTD. | |
| Applicant Contact | Carl Alletto | |
| Regulation Number | 892.2050 | |
| Classification Product Code | LLZ | |
| Decision Date | 09/19/2006 | |
| Decision | substantially equivalent (SESE) | |
| Requlation Medical Specialty | Radiology | |
| summary | summary | |
| Type | Traditional | |
| Reviewed by Third Party | No | |
| Combination Product | No | |
Device Description: 21 CFR 807 92(a)(4)
MED-TAB is a 13.3" color LCD monitor including a built-in tablet computer for viewing and analyzing of medical images (except those of mammography) from a picture archiving and communication system (PACS). The color panel employs in-plane switching (IPS) technology allowing wide viewing angles.
{4}------------------------------------------------
### 510(k) Summary of Safety and Effectiveness
MED-TAB has one regular display mode to visualize non-medical images, and one DICOM factory calibrated display mode to display medical images according to DICOM requlations.
The MED-TAB has been calibrated to comply with DICOM Part 14 at the factory. With built-in brightness stabilization circuit. USB adiustment tool and ambient light sensor. stable brightness and persistent calibration can be guaranteed. The MED-TAB can support both landscape and portrait mode. The anti-reflection coated protective screen can prevent display damage under heavy operating conditions. The tablet-PC is designed in conformity with IEC60601-1, and IEC60601-1-2 standards.
Off-the-shelf (OTS) software is used for the mobile viewer application. It supports DICOM image files as well as other common image formats and PDF files.
The major image viewing functions device are:
- . Receive DICOM data per pre-defined communication setup by Picture Archiving and Communication System (PACS)
- . Overview of available patients, including a search function (name, birth date, imaging modality)
- . Selection of to be reviewed DICOM data to download an entire set of data (multiple patients, multiple studies or multiple series)
- Visualization of the DICOM data in a well-established way of DICOM viewing (analogous standard tools for medical image viewing)
- . Assessment of DICOM data by means of standard navigation tools (level window, panning, zooming, etc.)
- . Take pictures for wound documentation and send them as a DICOM file to your PACS including all necessary meta information
- . Calibration routine to adjust the display of grey values on a device - DICOM Greyscale Standard Display Function
- . Create simple textual reports and store them as a DICOM file
- . Load and create level window presets
- Manual measurement of structures of interest on 2D slices including angular and . length measurements as well as statistical computations in a region of interest
- . Adding text annotations to images
- . Multiplanar reconstruction for CT datasets (MPR)
- . Thick slices by means of maximum intensity projection for up to 11 slices (MIP)
- . Browse PACS by DICOM Query (C-FIND)
- Request data by DICOM Retrieve (C-MOVE) .
- . Encryption and compression of data stored/transmitted
- . Sending messages / images / key images to colleagues, which are shown in a contact list
MED-TAB does not contact the patient, nor does it control any life sustaining devices. The software does not provide any diagnostic assistance to the physician. Any diagnostic determination or treatment is solely determined by a physician and not the software. A physician, providing ample opportunity for competent human intervention, interprets images and information being displayed and printed.
#### Indications for Use: 21 CFR 807 92(a)(5)
MED-TAB, is a computer hardware/software device intended for viewing of images acquired from CT, MR, CR, DR, US and other DICOM compliant medical imaging systems. Images and data can be stored, communicated, processed, and displayed within the system and or across computer networks at distributed locations.
{5}------------------------------------------------
Mammographic images and digitized film screen images must not be reviewed for primary diagnosis or image interpretation. Mammographic images may only be interpreted using a monitor that meets technical specifications identified by FDA. It is the User's responsibility to ensure monitor quality, ambient light conditions, and image compression ratios are consistent with clinical application.
### Technological Characteristics: 21 CFR 807 92(a)(6)
MED-TAB, does not contact the patient, nor does it control any life sustaining devices.
A physician, providing ample opportunity for competent human intervention interprets images and information being displayed and printed. The general features and functions of the device are as follows:
| Item description | Predicate device: iQ Systems<br>PACS K062488 | New Device:<br>MED-TAB |
|--------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|
| Computer platform<br>(minimum requirements) | Pentium IV CPU > 1.5 GHz or<br>comparable AMD processor.<br>minimum 20 GB hard disk, depending<br>on the volume of the data to be saved<br>temporary, and with DMA33 ability<br>3D graphics card nVidia GeForce ≥<br>5600 or higher, ATI ≥ Radeon 9600,<br>with at least 64 MB of RAM<br>analogous color monitor, resolution of<br>1024 × 768<br>CD-R drive to install the program from<br>CD-ROM | • CPU: Quad core Intel-<br>compatible x86 64bit Processor<br>• HDD: 32GB |
| System RAM | ≥ 1 GB main memory, depending<br>on the 3D datasets | • RAM: 1GB |
| Operation System | Microsoft Windows 2000, or Windows<br>XP | • Android 4.4.4<br>• Android 6.0<br>• Android 7.0<br>• iOS 10.0.2<br>• Windows 10 x64<br>• Windows 7 x64 |
| Image Acquisition | Frame grabber or Vidar Diagnostic<br>Pro film scanner system or similar | There is no frame grabber in the<br>Subject Device. |
| Transmission resolution<br>(max.) | 1280 x 1024, 8-bit display or 12 bits<br>deep | 1920 x 1080 Pixel, 11 Bit<br>internally, 8-bit display |
| Image Compression: | Compression mode: none, Lossless<br>(Differential Pulse Code Modulation),<br>or Lossy (Wavelet/JPEG) | No compression or Lossless only. |
| Modality Support | DICOM and non-DICOM images from<br>Computer Radiography, CT, MRI,<br>Nuclear Medicine, Ultra Sound,<br>Secondary Capture Secondary<br>Capture | Same as predicate |
| Networking<br>Communications Protocol | DICOM 3.0 | Same as predicate |
| Standard Interfaces | SCSI or Modem. Network connection<br>with at least 10 MBit/s | Same as predicate |
| Image Storage | On board hard disk size &<br>compression dependent. Can store to<br>Short or Long-Term Archives | Same as predicate |
| Item description | Predicate device: iQ Systems<br>PACS K062488 | New Device:<br>MED-TAB |
| Image Interaction Features | 'Level Window'<br>●<br>'Thickness'<br>● | Same as predicate |
| Image Tools | 'Panning'<br>●<br>'DICOM Cine'<br>●<br>●<br>'Zoom':<br>'Create report'<br>● | Same as predicate |
| Image Annotations | ●<br>'Measurement'<br>'Note'<br>●<br>'Arrow'<br>●<br>'Region of interest'<br>●<br>'Angle'<br>●<br>'Remote angle':<br>●<br>●<br>"Length ratio"<br>'Save key image (to PACS)<br>●<br>●<br>"List of annotations' | Same as predicate |
| Image Search | Overview about all available<br>●<br>patients, including a search<br>function (name, birth date,<br>imaging modality) | Same as predicate |
| Multiplanar reconstruction<br>for CT datasets (MPR | Yes | Yes |
| Sending messages /<br>images / key images to<br>colleagues, which are<br>shown in a contact list | Yes | Yes |
{6}------------------------------------------------
### 510(k) Summary of Safety and Effectiveness
#### Testing
The complete system configuration has been tested at the factory and the device has passed all in-house pre-determined testing criteria without significant failures. The data presented in the submission demonstrates that MED-TAB performs as required according to the functional requirements specified in the Software Requirements Specification and the User Manual with no errors that had an impact on safety or efficacy.
### Conclusion: 21 CFR 807 92(b)(1)
The 510 (k) Pre-Market Notification for MED-TAB contains adequate information and data to enable FDA - CDRH to determine substantial equivalence to the predicate device. MED-TAB has been and will be manufactured in accordance with the voluntary standards listed in the enclosed voluntary standard survey. The submission contains the results of a hazard analysis and the "Level of Concern for potential hazards has been classified as "Moderate".
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.