Efficient Care 3D Planning is software indicated for assisting orthopedic surgeons in preoperative planning of knee orthopedic surgeries. The software allows for the overlaying of 3D/2D implant models and for the visualization of the radiological images and 3D reconstruction of bones, and includes tools for performing measurements on the images or 3D model of bones, and for selecting and positioning the implant model. Clinical judgments and experience are required to properly use the software. Efficient Care 3D Planning is to be used with the following fixed bearing knee replacement systems in accordance with their indications and contraindications: NexGen CR, NexGen CR-Flex Gender, NexGen CR-Flex Gender, NexGen LPS, NexGen LPS-Flex, NexGen LPS-Flex Gender, Persona® CR, Persona PS, Vanguard® CR, and Vanguard PS.
Device Story
Software assists orthopedic surgeons in preoperative planning for knee replacement. Inputs: multiple 2D X-ray images. Processing: image segmentation and processing to reconstruct 3D bone models; scales models to patient anatomy; compensates for leg rotation in X-rays. Outputs: 3D bone visualization; implant sizing; template report with prosthesis overlays. Used in clinical settings by surgeons to select and position implants. Final sizing determined by intraoperative assessment. Benefits: improved preoperative visualization and sizing accuracy.
Clinical Evidence
Bench testing only. Implant predictability tests confirmed the system predicts correct implant size within ±2 sizes in 90% of cases using a magnification sphere. Software verification and validation performed per FDA guidance for moderate level of concern. Biocompatibility evaluation conducted per ISO 10993.
Technological Characteristics
Software-based image processing system. Features: X-ray image segmentation, 3D bone reconstruction, implant sizing/positioning tools. Connectivity: exports PDF reports. Software level of concern: moderate. Biocompatibility: meets ISO 10993 requirements.
Indications for Use
Indicated for orthopedic surgeons performing preoperative planning for knee replacement surgeries using specific fixed-bearing knee systems (NexGen, Persona, Vanguard series).
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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Orthosoft, Inc. (d/b/a Zimmer CAS) Paul Hardy Sr. Regulatory Specialist 75 Queen St., Suite 3300 MONTREAL, QC, H3C 2N6 CANADA
Re: K183544
Trade/Device Name: Efficient Care 3D Planning Regulation Number: 21 CFR 892.2050 Regulation Name: Picture Archiving and Communications System Regulatory Class: Class II Product Code: LLZ Dated: July 22, 2019 Received: July 23, 2019
Dear Paul Hardy:
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.
August 23, 2019
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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 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,
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 Ouality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K183544
R10044
Device Name Efficient Care 3D Planning
### Indications for Use (Describe)
Efficient Care 3D Planning is software indicated for assisting orthopedic surgeons in preoperative planning of knee orthopedic surgeries. The software allows for the overlaying of 3D/2D implant models and for the visualization of the radiological images and 3D reconstruction of bones, and includes tools for performing measurements on the images or 3D model of bones, and for selecting and positioning the implant model. Clinical judgments and experience are required to properly use the software.
Efficient Care 3D Planning is to be used with the following fixed bearing knee replacement systems in accordance with their indications and contraindications: NexGen CR, NexGen CR-Flex Gender, NexGen CR-Flex Gender, NexGen LPS, NexGen LPS-Flex, NexGen LPS-Flex Gender, Persona® CR, Persona PS, Vanguard® CR, and Vanguard PS.
Type of Use (Select one or both, as applicable)
| <span class="checkbox">☒</span> Prescription Use (Part 21 CFR 801 Subpart D) |
|------------------------------------------------------------------------------|
| <span class="checkbox">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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## 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 Efficient Care 3D Planning 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.
| Sponsor: | Orthosoft, Inc (d/b/a. Zimmer CAS)<br>75 Queen St., Suite 3300<br>Montreal, QC, CANADA H3C 2N6<br>Establishment Registration Number: 9617840 |
|-----------------|----------------------------------------------------------------------------------------------------------------------------------------------|
| Contact Person: | Paul Hardy<br>Regulatory Affairs Sr. Specialist<br>Telephone: 574-372-6799 |
| Date: | August 19, 2019 |
| Subject Device: | Trade Name: Efficient Care 3D Planning<br>Common Name: Image Processing System |
| | Classification Name:<br>• LLZ-Picture Archiving and Communications System<br>(21 CFR 892.2050) |
Predicate Device(s):
| Manufacturer | Device Name | 510(k) Number |
|-------------------------|-------------|---------------|
| ONEFIT medical,<br>Inc. | kneeEOS | K161828 |
Purpose and Device Description:
Efficient Care 3D Templating is software application that is intended to assist in the preoperative sizing of femoral and tibial implants. The software solution allows for the processing of multiple 2D X-rays to create 3D bone models that scales to patient bones and compensates for patient leg rotation in the X-rays images. The 3D bone
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| | models allow implant sizing to occur and output a template report, which includes overlays of prostheses, in respect to leg orientations on the X-ray images. Final implant sizing is based on intraoperative surgeon assessment. |
|--------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <b>Indications for Use:</b> | Efficient Care 3D Planning is software indicated for assisting orthopedic surgeons in preoperative planning of knee orthopedic surgeries. The software allows for the overlaying of 3D/2D implant models and for the visualization of the radiological images and 3D reconstruction of bones, and includes tools for performing measurements on the images or 3D model of bones, and for selecting and positioning the implant model. Clinical judgments and experience are required to properly use the software. |
| | Efficient Care 3D Planning is to be used with the following fixed bearing knee replacement systems in accordance with their indications and contraindications: NexGen® CR, NexGen CR-Flex, NexGen CR-Flex Gender, NexGen LPS, NexGen LPS-Flex, NexGen LPS-Flex Gender, Persona® CR, Persona PS, Vanguard® CR, and Vanguard PS. |
| <b>Summary of Technological Characteristics:</b> | The rationale for substantial equivalence is based on consideration of the following characteristics: |
| | <ul><li><b>Indications for Use:</b> Efficient Care and the predicate device have similar indications for uses.</li><li><b>Design Features:</b> Both software packages have the following features: <ul><li>Efficient Care and the predicate device utilize x-ray image(s) for image segmentation and processing</li><li>Efficient Care and the predicate device provide the capability to visualize 3D models of the bone</li><li>Efficient Care and the predicate device provide preoperative sizing values</li><li>Efficient Care and the predicate device provide tools to improve visualization, perform implant measurements to choose, size and position the</li></ul></li></ul> |
- implant Efficient Care and the predicate device export a PDF O planning report for surgeon review
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## Summary of Performance Data (Nonclinical and/or Clinical)
Efficient Care has been evaluated through the following non-clinical testing
#### Implant Predictability Tests O
The objective of these tests were to confirm that the Efficient Care device could accurately predict the correct implant size within ±2 sizes in 90% of cases when the magnification sphere object is present and to evaluate the accuracy of the system quantitatively. The predicted preop implant size was compared to the post-op implant size to assess the performance of the size evaluation aspect of the Efficient Care device.
#### Biocompatibility Testing о
The biocompatibility evaluation for Efficient Care was conducted in accordance with ISO 10993. The evaluation reveals that the Efficient Care device meets biocompatibility requirements.
#### Software Verification & Validation Testing o
Testing was 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". The software was considered as a "moderate level of concern", since a failure or latent design flaw could lead to an erroneous diagnosis or a delay in delivery of appropriate medical care that would likely lead to Minor Injury.
## Substantial Equivalence Conclusion
The subject device has the same intended use, similar indications for use, technological characteristics and principles of operation as the predicate device. The differences between the subject device and the predicate device does not introduce new types of safety and effectiveness questions. Therefore, the proposed device is at least as safe and effective as the legally marketed predicate device.
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.