Annalise.ai vs Qure AI (2026)
Both are FDA cleared, comprehensive readers of chest X-ray and head CT deployed at national scale, both grade A on AI centrality and specialty coverage, so the split is finding count breadth and reimbursement against regulatory depth and model discipline. If your priority is the widest coverage per study plus a defined Medicare path and time critical triage routing, start with Annalise.ai. If your failure mode is deploying a chest X-ray model that drifts silently after clearance, start with Qure AI, the only chest X-ray CADe cleared with a Predetermined Change Control Plan and the deeper validation record. Annalise reads up to 124 findings on chest X-ray and 130 on head CT in one pass. Qure holds 26 FDA cleared indications, the deepest regulatory footprint in the index.
- The widest coverage per study: up to 124 findings on chest X-ray and 130 on head CT in a single pass, against Qure's approach of separately cleared indications.
- A defined US reimbursement path: Medicare New Technology Add on Payment status, which changes the return calculation for a hospital buyer in a way almost no imaging vendor here can point to.
- Triage strength: the highest number of cleared triage findings on chest X-ray, the first Breakthrough Device Designation ever granted to a radiology triage device, and unique differentiation of tension pneumothorax for the most urgent routing.
- The deepest regulatory record in the index, 26 FDA cleared indications across nine products, and the only chest X-ray CADe cleared with a Predetermined Change Control Plan, so model updates follow a path agreed with the FDA rather than arriving silently.
- A stronger validation posture: the latest clearance rested on both a standalone performance test and a multi reader multi case study, the higher evidentiary bar for imaging AI.
- Built for non radiologist readers too, with cleared use by emergency and family medicine physicians, useful where a radiologist is not first to the film.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Annalise.ai and Qure 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 | Annalise.ai | Qure AI |
|---|---|---|
| Primary category | Radiology & Imaging AI | Radiology & Imaging AI |
| Founded | 2019 | 2016 |
| Headquarters | Sydney, Australia | Mumbai, India |
| Website | annalise.ai | qure.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 Annalise.ai its top capability grade on AI Centrality, FDA and Regulatory Status and Setting and Specialty Coverage. Set against Qure AI, Annalise.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 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
The AI Health Index awards Qure AI its top capability grade on several axes, including AI Centrality, Model and Technology Transparency and Clinical and Operational Evidence. Set against Annalise.ai, Qure AI grades higher on several axes, including Model and Technology Transparency, Clinical and Operational Evidence and Security Certifications and Trust Center. 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 Annalise.ai or Qure AI?
The AI Health Index grades Qure AI higher than Annalise.ai on every axis that separates them, several axes, including Model and Technology Transparency, Clinical and Operational Evidence and Security Certifications and Trust Center. Annalise.ai does not grade higher on any scored axis.
Where do Annalise.ai and Qure AI differ most?
The widest separation the AI Health Index records between Annalise.ai and Qure AI is on Model and Technology Transparency, where Annalise.ai grades B and Qure AI grades A. 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 Annalise.ai and Qure AI grade the same?
The AI Health Index grades Annalise.ai and Qure AI the same on several axes, including AI Centrality, Autonomy and Oversight Model and Model Supply Chain Disclosure. 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.
Both are assistive with the radiologist reading every study, both are FDA cleared and deployed across more than 40 countries, and neither publishes a security attestation, data residency terms, or demographic subgroup analysis, which matters because chest X-ray AI performance is known to vary with acquisition equipment and patient demographics.
Annalise's headline 32 percent head CT accuracy improvement lacks published study detail, and its evidence leans on deployment scale rather than peer reviewed outcomes. Qure withholds pricing and any named PACS integration. Both are headquartered outside the US, Qure in India and Annalise an Australian joint venture, so a US buyer should establish business associate terms and confirm where inference runs.