Aidoc
Enterprise clinical AI platform unifying multi-specialty care coordination.
Aidoc delivers the broadest FDA-cleared clinical AI portfolio for large health systems, with proven reductions in stroke treatment times (34%) and PE alert times (31%). But its custom pricing and heavy IT integration make it overkill for smaller facilities.
- Health systems seeking enterprise-wide clinical AI deployment across multiple specialties
- Radiology departments needing AI-assisted triage and prioritization of findings
- Stroke centers aiming to reduce door-to-puncture times with real-time notifications
- Vascular surgery teams managing aortic disease, PE, DVT, and IVC filter patients
- Small clinics with limited IT infrastructure for AI integration
- Organizations not ready for workflow changes and staff training
- Providers seeking a single-disease AI solution without enterprise needs
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Skip Aidoc if you run a small clinic with limited IT budget and only need a single-disease AI algorithm.
Annual enterprise contract with minimum commitment — no month-to-month option; upfront investment required.
Aidoc uses custom enterprise pricing, typically affordable only for large health systems with dedicated AI budgets. It's significantly more expensive than single-specialty tools like Viz.ai (which starts around $50k/year) but offers broader coverage. For small clinics, free tools like MIT's AI models or low-cost options are more practical.
In short
Aidoc — Enterprise clinical AI platform unifying multi-specialty care coordination. Best for Health systems seeking enterprise-wide clinical AI deployment across multiple specialties, Radiology departments needing AI-assisted triage and prioritization of findings, Stroke centers aiming to reduce door-to-puncture times with real-time notifications. Contact Sales pricing.
Viability Score
How likely is Aidoc to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- FDA-cleared algorithms for radiology, cardiology, neuro, vascular
- Real-time AI notification and triage across specialties
- Care coordination routing alerts to right clinicians
- Patient management for follow-up and long-term monitoring
- EHR and PACS integration via aiOS
- Proprietary aiOS enterprise platform
- Vetted third-party algorithm marketplace
- AI strategy and governance framework (BRIDGE Guidelines)
- Foundation models powered by CARE
- Incidental finding capture and automated measurement
- Stroke and hemorrhage real-time detection
- Coronary artery calcium scoring and echocardiography analysis
- Aortic aneurysm and VTE workflow management
- C-spine fracture detection
- Brain aneurysm detection
About Aidoc
Aidoc is an enterprise clinical AI platform that unifies radiology, cardiology, neurovascular, and vascular care within a single, integrated system. Designed for large health systems and hospital networks, it uses the largest portfolio of FDA-cleared algorithms to automatically analyze medical imaging, prioritize critical findings, and trigger real-time notifications to care teams. Aidoc covers 75% of patients in a health system, enabling faster diagnosis and treatment across multiple specialties. The platform's core is aiOS, a proprietary operating system that connects with existing EHR and PACS systems to orchestrate workflows. Care coordination tools route alerts to the right clinicians, while patient management features track follow-ups and long-term monitoring (e.g., aortic aneurysm surveillance). Aidoc also hosts vetted third-party algorithms and offers governance frameworks like BRIDGE Guidelines for scalable AI deployment. Key outcomes include a 31% faster time-to-notification for pulmonary embolism and a 34% reduction in door-to-puncture time for stroke. The platform includes foundation models powered by CARE and supports cardiac disease measurement, incidental finding capture, and automated stroke/hemorrhage detection. Compared to single-solution AI tools (e.g., Viz.ai), Aidoc is broader in specialty coverage but requires larger IT infrastructure and custom pricing. It's best for health systems committed to enterprise-wide AI adoption, not for small clinics or budget-limited facilities.
Behind the Verdict
Aidoc is the most comprehensive enterprise clinical AI platform we've evaluated, covering radiology, cardiology, neurovascular, and vascular care under one aiOS roof. For large health systems with existing EHR and PACS infrastructure, it offers a unified workflow that connects care teams and reduces time-to-treatment for critical conditions like stroke and pulmonary embolism. The platform's 1,600+ medical center adopters and 34% door-to-puncture time reduction speak to real-world impact. Where it falls short is accessibility. Aidoc's custom pricing and need for substantial IT integration make it impractical for small clinics or budget-limited facilities. Unlike point solutions (e.g., Viz.ai for stroke), Aidoc requires a system-wide commitment to AI governance and workflow change. If your organization isn't ready to invest in a scalable AI strategy and staff training, you'll struggle to see ROI. We'd recommend Aidoc for health systems aiming to deploy AI across multiple specialties simultaneously. For single-department needs or limited budgets, look elsewhere. The platform's vetted third-party marketplace is a nice touch, but it adds complexity. In practice, Aidoc works best when you have a dedicated AI deployment team—not as a plug-and-play tool.
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Real-world workflow fit
Concrete scenarios for the personas Aidoc actually fits — and what changes day-one when you adopt it.
A chest CT shows suspected pulmonary embolism; Aidoc's algorithm flags it, sends real-time notification to the radiologist and care team.
Outcome: 31% faster time-to-notification compared to manual review, enabling earlier treatment.
Patient presents with stroke symptoms; CT reveals large vessel occlusion; Aidoc alerts the neuro team immediately.
Outcome: 34% reduction in door-to-puncture time (38 minutes saved), improving patient outcomes.
Incidental aortic aneurysm found on a scan; Aidoc captures the finding and schedules follow-up.
Outcome: 99% of eligible patients are tracked for long-term surveillance, preventing rupture.
Use Cases
- Prioritize critical radiology findings like intracranial hemorrhage or pulmonary embolism
- Detect coronary artery disease and incidental cardiac findings on chest CT
- Streamline stroke care with real-time notification of large vessel occlusion
- Manage patients with incidental aortic aneurysm or VTE
- Deploy AI at scale across multiple departments with a single platform
Models Under the Hood
as of 2026-07-06
Limitations
- Enterprise-focused, requires integration with hospital IT systems which can take months.
- Custom pricing may be expensive.
- The platform's breadth may be overkill for facilities needing only one specific AI algorithm.
- Continuous algorithm updates require ongoing vendor engagement.
as of 2026-07-01
Where the pricing makes sense
The company stage and team size where Aidoc's pricing actually pencils out — and where peers do it cheaper.
Aidoc uses custom enterprise pricing, typically affordable only for large health systems with dedicated AI budgets. It's significantly more expensive than single-specialty tools like Viz.ai (which starts around $50k/year) but offers broader coverage. For small clinics, free tools like MIT's AI models or low-cost options are more practical.
Setup time & first value
How long it actually takes to get something useful out of Aidoc — broken out by persona, not the marketing-page minute.
Initial integration with EHR/PACS takes 1-3 months depending on IT readiness. Pilot deployment for a single specialty can begin within weeks, but full enterprise rollout across multiple departments typically takes 6-12 months. Ongoing optimization and staff training add additional time.
Switching to or from Aidoc
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From single-specialty AI tools: Aidoc's aiOS can integrate alongside existing algorithms, gradually replacing siloed solutions.
- ↗To another enterprise platform: Export patient data and configuration via API; vendor lock-in is moderate due to proprietary aiOS.
Integrations
Resources & Guides
- Resourceaidoc.com
Clinical AI Resources
Explore Aidoc's clinical AI resource center with blogs, ebooks, whitepapers, clinical studies, customer stories, webinars and more!
- Resourceaidoc.com
Connecting the Dots Blog
Explore the impact of healthcare AI on hospitals, humans, technology and healthcare as a whole as we Connect the Dots.
- Learnaidoc.com
Clinical AI Resources
Explore Aidoc's clinical AI resource center with blogs, ebooks, whitepapers, clinical studies, customer stories, webinars and more!
Official links
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