Aidoc vs Annalise.ai (2026)
The enterprise platform against the comprehensive chest specialist. Aidoc runs many detection models across an imaging estate through an operating system that handles normalisation, continuous monitoring and governance, with a 2026 clearance covering a double digit set of acute indications from one named foundation model and regulator reviewed performance behind it. Annalise reads the chest radiograph comprehensively across a large findings set, with regulatory footprints in several markets and a joint venture supplying real reading volume. If the problem is running clinical AI across an imaging estate without rebuilding per algorithm, Aidoc is the infrastructure. If it is chest radiograph throughput specifically, Annalise goes deeper into that one film. Do not compare them on findings counts, which mean different things to each vendor.
- It runs detection models across an imaging estate through an operating system handling normalisation, monitoring and governance for every model it runs.
- The 2026 clearance covers many acute indications from a single named foundation model, with performance from a regulator reviewed pivotal study.
- The data handling model is published in unusual detail, with de identification performed before upload, which answers the privacy question architecturally.
- Comprehensive chest radiograph coverage with a large findings set, and a joint venture with a large radiology provider that supplies genuine reading volume.
- Regulatory footprints across multiple markets mean the product has met more than one regulator's expectations.
- For a service whose problem is chest radiograph throughput specifically, a comprehensive chest product goes deeper than a multi indication acute platform.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aidoc and Annalise.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
| Fact | Aidoc | Annalise.ai |
|---|---|---|
| Primary category | Radiology & Imaging AI | Radiology & Imaging AI |
| Founded | Not recorded | 2019 |
| Headquarters | Tel Aviv, Israel | Sydney, Australia |
| Website | aidoc.com | annalise.ai |
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 Annalise.ai, Aidoc grades higher on several axes, including Autonomy and Oversight Model, Model and Technology Transparency and 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, August 2026
The AI Health Index awards Annalise.ai its top capability grade on AI Centrality, FDA and Regulatory Status and Setting and Specialty Coverage. Set against Aidoc, Annalise.ai does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, FDA and Regulatory Status and Deployment Model and Data Residency. 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, August 2026
Questions buyers ask
Should we choose Aidoc or Annalise.ai?
The AI Health Index grades Aidoc higher than Annalise.ai on every axis that separates them, several axes, including Autonomy and Oversight Model, Model and Technology Transparency and Model Supply Chain Disclosure. Annalise.ai does not grade higher on any scored axis.
Where do Aidoc and Annalise.ai differ most?
The widest separation the AI Health Index records between Aidoc and Annalise.ai is on Model Supply Chain Disclosure, where Aidoc grades A and Annalise.ai grades C. 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 Annalise.ai grade the same?
The AI Health Index grades Aidoc and Annalise.ai the same on several axes, including AI Centrality, FDA and Regulatory Status and Deployment Model and Data Residency. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
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.
The comparison should not be run on findings counts, which are counted differently by each vendor and vary enormously in per finding performance; ask both for performance on the findings that matter in your population at your prevalence. Neither publishes a subgroup analysis. Aidoc claims its own certification with an annually certified management system, while Annalise publishes no located attestation, which is the pattern this index records across non United States imaging vendors. Neither publishes pricing.