Analyze My Knee
Pricing
- Free Tier
- Free 3D viewer; analysis features available
Summary
You get your knee MRI results, the radiologist report is dense with clinical shorthand, and your appointment is two weeks out — that gap is exactly what Analyze My Knee is built for.
The tool accepts DICOM files or PDF reports, processes them through a panel of four AI models working in parallel, and returns a single plain-language explanation of findings. Raw scan files never leave the browser — only rendered images are transmitted when you explicitly trigger analysis, which removes the most common privacy concern patients raise before uploading medical files. The 3D viewer runs entirely client-side with no install required. Where it breaks: this is a single-shot explanation service, not a diagnostic system, and the output is explicitly positioned as preparation material for a doctor visit — not a substitute for one. Teams or developers looking to integrate this into a clinical workflow have no API to call.
Bottom line: Use this to walk into your orthopedist appointment knowing what 'grade II posterior horn signal' means — not to skip that appointment.
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Pros
Sign in to edit- Raw scan files never leave the browser during 3D viewing, so patients with concerns about uploading sensitive medical data can use the viewer without transmitting anything to a server.
- Four AI models review each scan in parallel and cross-check outputs into one report, so a single model's error or blind spot is less likely to dominate the explanation you bring to your appointment.
- The 3D viewer requires no install and no account, so you can rotate and inspect a DICOM scan within seconds of landing on the page — without the setup friction that makes most DICOM tools impractical for non-clinical users.
- Plain-language output is explicitly designed as doctor-visit preparation material, so you arrive at your appointment with specific questions rather than a printout you cannot parse.
- Covers fourteen named knee conditions in a single analysis pass, so you are not running separate queries to understand whether your scan shows signs of both meniscus injury and early osteoarthritis.
Cons
Sign in to edit- The output is a one-shot report with no follow-up interface — once the panel delivers its explanation, you cannot ask clarifying questions or request deeper detail on a specific finding without re-uploading. Patients who need iterative explanation of complex multi-condition scans hit this wall immediately and have no workaround within the tool.
- There is no API, no embeddable widget, and no integration pathway — so any developer, clinic portal, or health app that wants to build this explanation capability into their own product cannot use Analyze My Knee as a backend service. Those teams evaluate general-purpose medical AI APIs or build against model providers directly.
- Scope is locked to knee imaging. A patient who uploads a scan incidentally showing hip pathology, or who needs the same plain-language explanation for a shoulder MRI, gets nothing from this tool — the vendor routes those cases to separate domains, which means separate workflows and no unified history across body parts.
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About
- Platforms
- Web browser
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-21T15:40:20.921Z
Best For
Who it's for
- Patients seeking private second-opinion explanations of knee imaging
- Users who want to keep raw medical files on their device
- Individuals needing quick, accessible scan visualization tools
What it does well
- Obtain plain-language explanation of knee MRI or X-ray findings
- View and rotate knee scans in 3D directly in the browser
- Prepare questions for a doctor visit using AI-generated insights
- Cross-check scan interpretations with multiple AI models
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Frequently Asked Questions
- Is Analyze My Knee free?
- Analyze My Knee has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Analyze My Knee open source?
- No — Analyze My Knee is a closed-source tool. Source code is not publicly available.
- What platforms does Analyze My Knee support?
- Analyze My Knee is available on: Web browser.
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Curated lists that include this category
Radiology reports are written for clinicians. When a patient receives one without context, the terminology is opaque and the wait for a follow-up appointment creates anxiety that plain-language explanation can reduce. Analyze My Knee takes a knee MRI or X-ray — either as a DICOM file or a PDF report — runs it through four AI models in parallel, and produces a single consolidated explanation covering findings relevant to conditions like ACL tears, meniscus injuries, osteoarthritis, and fourteen other named knee conditions. The workflow is three steps: upload, wait for the panel to cross-check its outputs, receive one readable report.
The privacy architecture is the most technically differentiated aspect of the product. The vendor states that raw scan files never leave the browser — only rendered images are sent for AI analysis, and only when the user initiates it. For patients who are reluctant to upload sensitive medical imaging to a cloud service, this local-first approach removes the barrier. The free 3D viewer operates entirely in the browser with no account creation or file upload required.
This tool fits one scenario well: a patient who has imaging results in hand, wants to understand them before speaking to a doctor, and wants that understanding to come from more than one model cross-checking itself. It does not fit clinical integration workflows — the vendor states no API is available. It does not replace diagnostic review — the page carries an explicit medical disclaimer. And it is scoped to knee imaging only, though the vendor operates parallel sites for ankle, shoulder, hip, spine, elbow, wrist, and dental imaging under separate domains.
Supported input formats include DICOM files and PDF reports. Analysis is one-shot per upload — there is no iterative refinement, no session memory, and no mechanism for a user to ask follow-up questions of the AI panel after the report is generated.