Aidoc
PaidAI radiology triage and clinical imaging workflow
Verified by editorialยทLast updated: April 2026ยทHow we rank
Editor's verdict
Aidoc is one of the strongest paid tools in its category, rated 4.7/5 by 234 users. Best for critical finding triage in ct, mri, and x-ray workflow and pulmonary embolism and intracranial haemorrhage prioritisation. Standout: fDA-cleared for multiple critical imaging indications. Watch out: requires PACS integration and radiology IT involvement.
About Aidoc
Aidoc is an AI medical imaging analysis platform that reviews CT scans, MRIs, and X-rays in the background of normal radiology workflow, flagging critical findings - pulmonary embolisms, intracranial haemorrhages, aortic dissections, spinal fractures - in near real time so they can be prioritised before a radiologist reads the full study queue. The AI does not replace radiologist interpretation; it acts as a continuous background monitor that ensures critical findings are never buried in a full queue.
Aidoc is FDA-cleared for multiple indications including intracranial haemorrhage, pulmonary embolism, and incidental pulmonary nodule detection. FDA clearance is significant in AI radiology: it means clinical validation data has been reviewed and the tool can be used as part of clinical workflow rather than purely for research. Over 1,000 hospitals globally use Aidoc.
The platform integrates with PACS (Picture Archiving and Communication Systems) used in radiology departments and surfaces findings to both radiologists and clinical teams through notifications and integrated dashboards. For radiology departments handling high volumes of cross-sectional imaging, Aidoc addresses the triage problem: ensuring that the most time-sensitive findings receive the fastest attention regardless of when they arrive in the queue.
Pros & Cons
Pros
- โFDA-cleared for multiple critical imaging indications
- โDeployed in 1,000+ hospitals with real-world validation
- โTriage prioritisation prevents critical findings being missed
- โIntegrates with PACS systems used in radiology departments
- โNear real-time background processing alongside normal workflow
Cons
- โRequires PACS integration and radiology IT involvement
- โEnterprise pricing - not accessible for individual radiologists
- โAI triage does not replace formal radiologist interpretation
Best Use Cases
- โCritical finding triage in CT, MRI, and X-ray workflow
- โPulmonary embolism and intracranial haemorrhage prioritisation
- โIncidental finding monitoring across large imaging volumes
Categories
Aidoc Preview
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Pricing
Pricing verified April 2026. Verify current pricing on the official site before purchase.
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234 aggregate ratings
Aggregate of third-party review platforms (G2, Capterra, Product Hunt) plus editorial testing. How we rank.
Last verified: April 2026
Editorial Scoring
How Aidoc scores on our 7-criteria framework
Output Quality
Accuracy, polish, and usefulness of what the tool produces.
Ease of Use
Onboarding friction, UI clarity, time to first useful result.
Pricing Value
Output per dollar at the realistic monthly cost for a typical user.
Feature Depth
Breadth and maturity of capabilities relative to category leaders.
Integrations
Native integrations, API quality, and ecosystem coverage.
Reliability
Uptime, output consistency, and battle-test through scale.
Trajectory
Recent product velocity and momentum vs the category.
Scores are editorial assessments based on hands-on testing and verified user data. They do not reflect affiliate relationships. How we score.
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Official site โ
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Aidoc on MytheAi
Compared with Aidoc (2)
- Aidoc vs Regard โtie
Aidoc is a radiology AI platform that analyzes medical imaging in real time, prioritizing urgent scans and flagging critical findings like pulmonary embolism, intracranial hemorrhage, and aortic dissection. Regard is an inpatient AI diagnostician that monitors hospitalized patient data inside Epic, surfacing missed diagnoses and ICD coding suggestions for complex inpatients. These tools solve fundamentally different problems: Aidoc wins for radiology departments managing imaging triage; Regard wins for hospitalist teams managing complex inpatients and billing accuracy.
- Aidoc vs Viz Ai โtie
Viz.ai and Aidoc are the two leading AI medical imaging platforms for time-critical condition detection in radiology and emergency medicine. Viz.ai built its reputation on stroke neurovascular care and has expanded to cardiology, pulmonary, and oncology. Aidoc started with incidental findings and built a broader radiology AI platform covering stroke, PE, brain bleeds, and spine pathology. Viz.ai wins on stroke workflow depth - its coordinated care team communication and mobile notification system is the most developed in the market. Aidoc wins on breadth of pathology coverage and the size of its AI model library across radiology subspecialties. Health systems evaluating either platform should consider their primary clinical use case: stroke-centre optimisation favours Viz.ai; broad radiology AI deployment favours Aidoc.
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Alternatives to Aidoc
See all 8 โFrequently Asked Questions
Is Aidoc free?โผ
Aidoc does not have a free plan. Paid plans start from $0/month - check the official site for current pricing.
What is Aidoc best for?โผ
Aidoc is best suited for: Critical finding triage in CT, MRI, and X-ray workflow, Pulmonary embolism and intracranial haemorrhage prioritisation, Incidental finding monitoring across large imaging volumes.
How does Aidoc compare to alternatives?โผ
Aidoc holds a rating of 4.7/5 from 234 reviews. Browse our comparison pages to see detailed side-by-side breakdowns against similar tools.
Reviewed by
John Ethan
Founder & Editor-in-Chief
Founder of MytheAi. Tracking and reviewing AI and SaaS tools since January 2026. Built MytheAi out of frustration with pay-to-rank listicles and SEO-driven AI directories that prioritize ad revenue over honest guidance. Hands-on testing across 500+ tools to date.
Aidoc Review (2026): Is It Worth It?
Aidoc is a paid tool. It holds a rating of 4.7/5 based on 234 reviews.
โ Browse all toolsFrom $0/mo