DeepHealth vs Viz.ai
DeepHealth and Viz.ai both compete in radiology, but answer different questions. DeepHealth is our pick for global radiology AI portfolio: World's largest after Gleamer acquisition (March 2026). Viz.ai earns the stroke + cardio coordination slot: Stroke + cardio + PE coordination at 1,700+ US hospitals. The right choice depends on whether your priority is global radiology ai portfolio or stroke + cardio coordination.
- Radiology
- 02
- May 23, 2026
DeepHealth
by RadNet
RadNet's clinical AI suite, world's largest after Gleamer acquisition (March 2026).
- Enterprise per-site / per-study.
- —

Viz.ai
by Viz.ai · founded 2016
Stroke + cardio + PE coordination platform, 1,700+ hospitals.
- Enterprise (per-site subscription).
- FDA 510(k) (multiple) / HIPAA
How DeepHealth and Viz.ai compare
Pricing, compliance, and integrations sourced from vendor documentation. Verified May 23, 2026.
| Spec | DeepHealth | Viz.ai |
|---|---|---|
| Pricing | Enterprise per-site / per-study. | Enterprise (per-site subscription). |
| Free tier | Yes | Yes |
| HIPAA | No / unverified | Yes |
| SOC 2 Type II | No / unverified | No / unverified |
| EHR integrations | Not specified | Not specified |
| Founded | — | 2016 |
| HQ | US | US |
| Best for | Best global radiology AI portfolio | Best for stroke + cardio coordination |
Scroll horizontally to see both columns.
When to pick each one
Best global radiology AI portfolio
World's largest after Gleamer acquisition (March 2026).
- RadNet-owned
- CXR, mammography, CT, MRI
- ~$140M ARR projected EOY 2026
- Spans CV + onc + neuro
Best for stroke + cardio coordination
Stroke + cardio + PE coordination at 1,700+ US hospitals.
- 50+ FDA clearances
- Strongest care-coordination workflow layer beyond pure detection
Other head-to-heads worth reading
Open the full radiology comparison
Acute-care triage, mammography screening, CCTA plaque analysis, mobile MRI. 30+ FDA-cleared platforms across stroke, oncology, cardiac. Enterprise sales only — we compared what's deployed where.
/best-ai-radiology