Generate structured DICOM reports in under 30 seconds — entirely on your device. No cloud uploads, no PHI exposure, no procurement queue. Just open the scan and let the model work.
Free·No account·No internet required after install
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Cloud-first products force a trade-off between capability and compliance. We don't.
Every cloud-based radiology assistant ships protected health information off-site for inference. That's a compliance liability your CIO can't sign off on without months of BAA review.
By the time procurement, security review, and integration are done, the model you bought is two generations behind. Radiologists wait. Patients wait.
Volume is up. Turnaround SLAs are tighter. The bottleneck is the report, not the read. Drafting a structured impression for every study is wearing the workforce thin.
Drop a DICOM in, get a signed-off draft out. The whole loop fits inside your existing workstation.
Download the .dmg or .exe. Native desktop app — no Docker, no Python, no GPU required.
Drag a DICOM, NIfTI, or PNG into the viewer. Multi-frame studies load with native windowing.
Lasso or rectangle around the region of interest. Skip for full-image analysis.
MedGemma streams a structured Findings/Impression draft in under 30 seconds.
Edit inline, export to .docx or HL7, or copy into your reporting system.
Every design decision optimizes for one thing: a radiologist's first 30 seconds with a study.
Every inference happens on the radiologist's workstation. No data ever leaves the device — no cloud, no telemetry, no analytics.
End-to-end from open-scan to streaming draft, including ROI segmentation. Benchmarked on Apple Silicon and modern Windows laptops.
Built on Tauri 2. Tiny binary, native menus, no browser, no Electron bloat. Installs and updates like any other clinical tool.
Constrain inference to a region or feed the full study. The model sees what you draw and nothing else.
Findings, Impression, recommended follow-up — pre-formatted to your institution's template. Export as .docx, JSON, or HL7.
Ships with MedGemma but accepts any GGUF model. Swap in a fine-tune, a domain-specific model, or your own checkpoint.
Honest comparison against the leading radiology AI products as of 2026.
| RadiologyAI | Rad AI | New Lantern | AIdoc | |
|---|---|---|---|---|
| Runs offline / on-device | Yes | Cloud only | Cloud only | Cloud only |
| PHI never leaves device | Yes | BAA required | BAA required | BAA required |
| Open-source (MIT) | Yes | Proprietary | Proprietary | Proprietary |
| Install time | < 5 min | 3–6 mo procurement | 3–6 mo procurement | 6–18 mo procurement |
| Bring your own model | Any GGUF | No | No | No |
| Per-study cost | $0 | Subscription | Per-read | Subscription |
This is the tool I've been waiting for. Finally AI that works in our environment without a six-month procurement process.
— Radiology Resident, Academic Medical Centerv0.1.0 · macOS (Apple Silicon) · Windows 10+ · MIT licensed