Aidoc vs Viz.ai (2026)
The two triage giants answer different questions. Viz.ai answers what happens after the finding: its origin product took the first ever FDA De Novo authorization for computer aided triage and notification, and the platform's distinguishing mechanism is mobilization, a mobile app that alerts and connects the treating team rather than only flagging a scan, now spanning more than 50 cleared algorithms across CT, ECG, and echocardiography at over 1,700 hospitals. Aidoc answers how a health system governs many findings at once: aiOS handles normalization, monitoring, and governance as an operating system, and its January 2026 clearance consolidated 14 abdomen CT indications into what it describes as the first comprehensive AI triage solution, built on its CARE foundation model with a mean sensitivity of 97 percent and specificity of 98 percent in the FDA reviewed pivotal study. If your failure mode is the minutes between detection and the team assembling, start with Viz. If your failure mode is running multi condition AI without re architecting infrastructure, start with Aidoc.
- Platform governance is the buy: aiOS handles data normalization, continuous performance monitoring, and governance so multi condition AI runs without re architecting infrastructure, with more than 100 million patient cases reported analyzed.
- Consolidated clearance economics: the January 2026 clearance brought 14 abdomen CT indications into a single workflow on the CARE foundation model, with the company reporting roughly an order of magnitude reduction in false alerts against single condition tools.
- The pivotal numbers are on the regulatory record: mean sensitivity of 97 percent and mean specificity of 98 percent for the newly cleared indications per the FDA reviewed study.
- Team mobilization is the mechanism you are buying: the mobile app alerts and connects specialists the moment a finding lands, which is the workflow that matters when the disease is stroke, hemorrhage, pulmonary embolism, or aortic disease.
- Regulatory first mover with breadth: the first ever FDA De Novo authorization for computer aided triage and notification, now more than 50 cleared algorithms spanning CT, ECG, and echocardiography.
- Deployment footprint as validation: reported at over 1,700 hospitals, one of the widest installed bases in imaging AI.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aidoc 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
Plain facts
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index awards Aidoc its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Viz.ai, Aidoc grades higher on several axes, including Model and Technology Transparency, Model Supply Chain Disclosure and AI Safety and PHI Stewardship. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, July 2026
The AI Health Index awards Viz.ai its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Clinical and Operational Evidence. Set against Aidoc, Viz.ai does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, Autonomy and Oversight Model and Clinical and Operational Evidence. Its thinnest published disclosure sits on Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, July 2026
Questions buyers ask
Should we choose Aidoc or Viz.ai?
The AI Health Index grades Aidoc higher than Viz.ai on every axis that separates them, several axes, including Model and Technology Transparency, Model Supply Chain Disclosure and AI Safety and PHI Stewardship. Viz.ai does not grade higher on any scored axis.
Where do Aidoc and Viz.ai differ most?
The widest separation the AI Health Index records between Aidoc and Viz.ai is on Model Supply Chain Disclosure, where Aidoc grades A and Viz.ai grades D. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do Aidoc and Viz.ai grade the same?
The AI Health Index grades Aidoc and Viz.ai the same on several axes, including AI Centrality, Autonomy and Oversight Model and Clinical and Operational Evidence. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have Aidoc and Viz.ai not disclosed?
At the last review, at least one of Aidoc and Viz.ai published thin or absent detail on Model Supply Chain Disclosure. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Decision Support page.
Case volumes, hospital counts, and false alert reduction figures are vendor published; the 97 and 98 percent figures for Aidoc's 2026 clearance come from the FDA reviewed pivotal study as reported by the company. Neither vendor publishes pricing. Security certification is Not Rated on Viz.ai's record and several Aidoc axes remain unassessed in this index; the side by side below shows exactly which, and buyers should request current compliance documentation directly.