Rad AI vs Viz.ai (2026)
Both attack radiology turnaround, and they attack different halves of it. Viz.ai shortens the time from finding to treatment: its stroke product created the triage and notification category in 2018, Viz One mobilizes the treating team automatically, and a post hoc randomized trial analysis reported door to groin times 11 minutes shorter. Rad AI shortens the time from read to signed report, generating the impression from the radiologist's own dictated findings in their own language, with the radiologist signing every report. Neither touches the other's bottleneck. If patients wait for treatment after the finding is known, start with Viz.ai. If reports sit unfinished while studies pile up, start with Rad AI; in a large service the two are complementary.
- It works on the report rather than the image, generating the impression from the radiologist's own dictated findings and learning their language from prior reports.
- The workflow enforces oversight: the model drafts and the radiologist signs.
- It publishes operational figures with named baselines, including follow up completion.
- Coordination is the constraint: Viz One pairs detection with automatic alerts and team messaging on clinicians' phones.
- Its stroke product created the triage and notification category through a 2018 De Novo, and a post hoc randomized trial analysis reported door to groin times 11 minutes shorter.
- Security terms published: SOC 2 Type II, ISO 27001 and ISO 42001 on the Trust Center, with business associate terms in the subscription privacy policy.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Rad AI and Viz.ai are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
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Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Generative AI for radiology reporting and follow up. Rad AI Reporting is a cloud native reporting system with real time quality checks before sign off; Rad AI Impressions (Omni Impressions) drafts the report impression from the radiologist's dictated findings, customized to each radiologist's language from the site's de identified historical reports; Omni Unchanged carries stable findings forward from prior reports; Rad AI Continuity tracks follow up recommendations through the EHR and RIS.
Source: AI Health Index, August 2026
AI powered care coordination platform, Viz One, that pairs detection algorithms on imaging and ECG with automatic alerts and team messaging on clinicians' phones. It began in stroke: its large vessel occlusion product, ContaCT, received FDA's De Novo authorization in 2018 (DEN170073), which created the regulatory category for imaging triage and notification software.
Source: AI Health Index, August 2026
Questions buyers ask
How are Rad AI and Viz.ai priced and sold?
Rad AI sells through agreements with radiology practices and health systems, and inquiries go through a demo request.
With Viz.ai, the website sets out how the product is sold: Viz One is an enterprise platform with therapeutic suites (neuro, vascular, cardio, pulmonary, trauma, radiology, oncology) and pilot programs, and the route in is a contact form. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
How do Rad AI and Viz.ai handle patient data?
In Rad AI's case, the security page describes a de identification pipeline specialized to radiology reports, and the FAQ says the models are trained on de identified historical reports, with no images, and customized for each site from three to five years of its de identified reports.
The customer's contract sets how long Viz.ai keeps customer data. Usage data (which studies and alerts a clinician opened, response times) is de-identified to the HIPAA standard at 45 CFR 164.514 before it is used to improve services, build new products or conduct research. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
Which settings and specialties do Rad AI and Viz.ai cover?
With Rad AI, the products cover report generation, impression drafting and follow up of incidental findings, sold to hospital radiology departments, physician owned practices and teleradiology groups; named users include AdventHealth, Advocate Health, Emory, Inland Imaging, LucidHealth and Trinity Health, and four health systems are strategic investors.
In Viz.ai's case, the oncology, respiratory, neurology and osteoporosis offers are sold as pilot programs. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified August 4, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers.
Rad AI's record has not yet been reviewed on this site, so its side of this page rests on the build record. Rad AI holds no clearance for any product in its portfolio, consistent with reporting assistance rather than diagnosis, but check that against how your department intends to use carried forward prior findings. Viz.ai sells some modules as pilot programs, and a pilot is not a clearance. Neither publishes pricing.