Overview: What Is Aidoc?
Aidoc is a New York-headquartered (Israel-founded) clinical AI company started in 2016 that builds AI for radiology triage. In January 2026, Aidoc received the first FDA 510(k) clearance for a comprehensive foundation model AI capable of detecting 14 acute conditions from a single CT scan — a regulatory and technical milestone that distinguishes Aidoc from competitors who have built single-condition models. Aidoc is deployed in 1,200+ medical centers across 100+ countries, including 7 of the top 10 US hospitals, making it one of the most globally deployed clinical AI platforms.
Where Viz.ai pioneered the AI triage workflow with single-condition models and care coordination, Aidoc's bet is that the future is multi-condition foundation models that detect everything in a single pass. The two companies are the dominant players in regulated radiology AI, and they compete head-to-head in nearly every enterprise procurement.
The CARE Foundation Model
Aidoc's CARE foundation model is the centerpiece of its 2026 platform. In January 2026, the FDA cleared CARE for body CT triage covering 14 indications — including pulmonary embolism, aortic emergency, intracranial hemorrhage, cervical spine fracture, pneumothorax, and 9 additional conditions — with reported 97% mean sensitivity and 98% mean specificity. This is the first FDA clearance for a foundation model in radiology triage and a meaningful step beyond the single-indication AI models that dominated 2020-2024.
The clinical advantage is significant: a single AI pass over a CT scan flags multiple potentially life-threatening conditions simultaneously, reducing the cognitive load on radiologists and dramatically reducing false alerts. Aidoc claims an order-of-magnitude reduction in false alerts compared to chaining multiple single-condition models — meaning radiologists spend less time on AI noise and more time on real findings.
How It Works
- AI-powered radiology triage across 14+ acute conditions
- aiOS enterprise AI operating system
- CARE foundation model for comprehensive body CT triage
- Real-time priority worklist flagging
- Multi-condition detection from single CT scan
- Continuous performance monitoring and governance
- PACS and EHR integration
- AI workflow orchestration for radiology
Aidoc's aiOS is the underlying enterprise AI operating system that orchestrates AI workflows across radiology and cardiology departments. Studies are processed automatically as they are acquired, the CARE foundation model evaluates them for the 14 covered conditions, positive findings are flagged on the radiologist's worklist with priority, and care teams are alerted in real time. The aiOS layer also handles data normalization across different scanners and protocols, continuous performance monitoring, and governance — the operational plumbing that determines whether AI deployments survive past the pilot phase.
Pricing
| Plan | Price | Details |
|---|---|---|
| Enterprise (aiOS Platform) | Contact sales — enterprise licensing based on volume and modules | Per-study or annual licensing models reported, Multi-condition bundles available, Enterprise-wide deployment via aiOS |
Pricing is enterprise and not publicly disclosed. Aidoc reportedly offers per-study pricing for some indications and annual subscriptions for the broader aiOS platform, with multi-condition bundles common at the enterprise tier. As with Viz.ai, the procurement process is sales-led and IT-intensive, with deployment timelines measured in months.
Strengths and Weaknesses
Strengths
- ✓ First FDA-cleared foundation model AI for CT triage (Jan 2026)
- ✓ 14 acute conditions from a single CT scan
- ✓ 97% sensitivity, 98% specificity
- ✓ Order-of-magnitude reduction in false alerts vs single-condition AI
- ✓ Deployed in 1,200+ medical centers and 7 of top 10 US hospitals
- ✓ aiOS provides continuous performance monitoring and governance
Weaknesses
- ✗ Enterprise-only with opaque pricing
- ✗ Radiology-specific — narrow focus compared to full-spectrum health AI platforms
- ✗ Requires PACS integration and IT infrastructure
- ✗ Competitive pressure from platform players like Viz.ai
- ✗ Limited outpatient/ambulatory use case
Aidoc vs Viz.ai
Both companies are FDA-cleared, both deployed at major US health systems, both occupy the same enterprise procurement process. The differentiation is structural: Viz.ai's strength is care coordination and the alert workflow that triggers immediate clinical action; Aidoc's strength is the multi-condition foundation model that does more in a single pass with fewer false alerts. For active stroke programs, Viz.ai's care coordination remains the reference standard. For broad-spectrum CT triage and operational scale across multiple departments, Aidoc's CARE foundation model is increasingly compelling.
Who Should Use Aidoc
Aidoc is best for large radiology departments and health systems wanting comprehensive multi-condition CT triage with operational governance. It is particularly attractive for academic medical centers, large EDs, and health systems standardizing on a single AI platform across cardiology and radiology.
Aidoc is not appropriate for outpatient imaging centers without IT infrastructure, small community hospitals, or any organization that cannot operationalize multi-condition radiology AI deployment.
Verdict
Aidoc is the most technically advanced enterprise radiology AI platform on the market in 2026, anchored by the first FDA-cleared foundation model for multi-condition CT triage and a global deployment footprint that few clinical AI vendors can match. For health systems looking to standardize radiology AI across multiple acute conditions in a single platform, Aidoc is the clear technical leader. We recommend Aidoc alongside Viz.ai as the two reference choices for FDA-cleared radiology AI, with Aidoc strongest on multi-condition breadth and Viz.ai strongest on stroke care coordination.