Aidoc vs AIRS Medical (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

Two imaging AI purchases that compete for the same budget and do entirely different jobs. Aidoc finds things, running detection models across an imaging estate through an operating system that handles normalisation, monitoring and governance, with a 2026 clearance spanning many acute indications. AIRS changes what the image looks like, using deep learning reconstruction so a department can scan faster or at lower dose on the scanners it already owns, vendor neutral across manufacturers. If studies are read too late, Aidoc. If the scanner is the bottleneck and the waiting list is the problem, AIRS returns capacity without adding anything to the radiologist's read. The failure modes differ too: a degraded detector quietly stops reprioritising, while a degraded reconstruction produces a cleaner image that lost a finding, which is why AIRS keeping the original series separate matters.

The case for Aidoc
  • It finds things, running detection models across an imaging estate with an operating system handling normalisation, monitoring and governance for every model on it.
  • The 2026 clearance covers many acute indications from one named foundation model, with regulator reviewed performance behind it.
  • For a service whose problem is urgent findings waiting in a queue, detection and worklist reprioritisation is the intervention.
The case for AIRS Medical
  • It changes how the image looks rather than what is found in it, raising quality or cutting scan time on scanners the department already owns.
  • Deliberate vendor neutrality across scanner manufacturers matters for a mixed fleet, and the cleared scope covers all pulse sequences within its modality.
  • It routes original and processed series to separate archives independently, so the unmodified study survives and a reader can check what changed.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aidoc and AIRS Medical 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

At a Glance

Plain facts

Fact Aidoc AIRS Medical
Primary category Radiology & Imaging AI Radiology & Imaging AI
Founded Not recorded 2018
Headquarters Tel Aviv, Israel Seoul, South Korea
Website aidoc.com airsmed.com
Attribute Matrix

Side by Side

Axis
A
Aidoc
A
AIRS Medical
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

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.

Aidoc

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 AIRS Medical, 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

AIRS Medical

The AI Health Index awards AIRS Medical its top capability grade on AI Centrality and FDA and Regulatory Status. Set against Aidoc, AIRS Medical does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, Security Certifications and Trust Center and FDA and Regulatory Status. 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

FAQ

Questions buyers ask

Should we choose Aidoc or AIRS Medical?

The AI Health Index grades Aidoc higher than AIRS Medical on every axis that separates them, several axes, including Autonomy and Oversight Model, Model and Technology Transparency and Model Supply Chain Disclosure. AIRS Medical does not grade higher on any scored axis.

Where do Aidoc and AIRS Medical differ most?

The widest separation the AI Health Index records between Aidoc and AIRS Medical is on Autonomy and Oversight Model, where Aidoc grades A and AIRS Medical grades B. 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 AIRS Medical grade the same?

The AI Health Index grades Aidoc and AIRS Medical the same on several axes, including AI Centrality, Security Certifications and Trust Center and FDA and Regulatory Status. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Radiology & Imaging AI page.

Disclosure

These have opposite failure modes and only one is visible: a detection model that degrades quietly returns worklists to their usual order, while a reconstruction model that degrades produces a cleaner image that has lost something, which no reader will notice. That is why retaining the original series matters more here than any accuracy figure. Neither publishes subgroup performance. Neither publishes pricing, and the economics differ in kind, since one adds work to the read and the other returns scanner capacity.