Aidoc

Aidoc

Paid

Clinical AI platform with FDA-cleared algorithms for radiology and care coordination, helping 1,600+ hospitals detect critical findings and activate care teams faster.

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What is Aidoc?

Aidoc is an enterprise clinical AI company trusted by more than 1,600 medical centers worldwide, including Houston Methodist, Sutter Health, Mount Sinai, and Yale New Haven Health. Its aiOS enterprise platform unifies 75+ AI algorithms across radiology, cardiology, neurovascular, vascular, and trauma specialties to automatically analyze imaging, detect critical findings, and connect care teams in real time. Aidoc's algorithms have delivered measurable clinical outcomes: 31% faster PE notification, 34% reduction in door-to-puncture time for stroke, and 99% of eligible aortic aneurysm patients scheduled for long-term follow-up. Its care coordination layer enables instant specialist notifications on mobile, while its patient management tools track patients across the continuum from detection to follow-up. Aidoc also offers the AI PATH program to guide health systems in building scalable AI strategies.

Key Features

aiOS Enterprise AI PlatformRadiology Imaging AI AlgorithmsNeurovascular AI (LVO, Hemorrhage, Aneurysm)Pulmonary Embolism DetectionAortic Disease AICoronary Artery Disease AIEchocardiography AITrauma Suite AlgorithmsOncology AI SuiteReal-Time Mobile Specialist AlertsCare Team Coordination WorkflowPatient Management DashboardEHR Contextual IntegrationSystems Integration with Minimal IT LiftThird-Party Algorithm Partner NetworkAI PATH Learning ProgramBRIDGE AI Governance Framework

Integrations

Other
EpicOracle HealthPACS SystemsAWS

How to Use Aidoc

1Connect Aidoc's aiOS to your PACS and imaging infrastructure via the systems integration layer
2Configure specialty-specific algorithms and care team alert routing within aiOS
3Incoming imaging studies are automatically analyzed in real time by Aidoc's AI
4Suspected critical findings trigger instant mobile alerts to the relevant specialist with imaging context
5Clinicians review the flagged study on mobile or desktop and coordinate the care team response within Aidoc

✅ Best For

  • Large hospital systems and academic medical centers with high-volume imaging departments that need AI-driven triage across multiple specialties including radiology, neurology, cardiology, and vascular surgery. CMIOs and radiology department chairs looking to build a scalable AI strategy with governance frameworks, standardized clinical validation, and measurable ROI.

❌ Not For

  • Outpatient clinics and imaging centers without the infrastructure for PACS integration or enterprise AI deployment. Organizations primarily looking for ambient documentation or EHR-based clinical note generation rather than imaging AI and care activation.

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Pricing

EnterpriseCustom
  • ✓Per-algorithm or suite licensing
  • ✓care coordination
  • ✓patient management
AI PATH ProgramCustom
  • ✓Strategic guidance and AI governance for health systems

Prompts to Try

Alert the interventional radiology team when aortic dissection is detected in CT imaging

Notify the stroke team within 60 seconds of suspected LVO on CT

Flag all trauma CTs with suspected hemorrhage for immediate radiologist review

Use Cases

A neurointerventional radiologist at Renown Health receives an Aidoc LVO alert on his phone during a night shift, views the CT in the app, and activates the stroke team before the patient has finished the scan, saving critical brain tissue.
The chair of radiology at St. Luke's Health System uses Aidoc to triage PE cases across 4 hospitals simultaneously, ensuring critical findings are never missed during peak imaging hours despite a regional radiologist shortage.
A vascular surgeon at Cooper University uses Aidoc's aortic disease AI to identify AAA patients from routine imaging and flag them for structured long-term surveillance, achieving 99% follow-up scheduling compliance.
A trauma center radiology team integrates Aidoc Trauma Suite, and the algorithm flags a suspected splenic laceration on a level-1 trauma CT in seconds, allowing the trauma surgery team to mobilize before the radiologist completes the formal read.
Wake Forest Baptist Health's cardiology team uses Aidoc's coronary artery disease AI to identify 30% of moderate-to-severe calcification patients who were not being managed appropriately, triggering targeted cardiology referrals.

Frequently Asked Questions