Head-to-Head
Viz.ai vs Aidoc (2026)
Viz.ai
Paid★ 4.7
Best for: stroke detection and rapid neurointerventional team notification, pulmonary embolism triage from ct pulmonary angiography
Aidoc
Paid★ 4.7
Best for: critical finding triage in ct, mri, and x-ray workflow, pulmonary embolism and intracranial haemorrhage prioritisation
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.
Feature Comparison
Stroke Workflow Depth
Viz.ai stroke care team coordination is the most developed in the market
Pathology Coverage Breadth
Aidoc has a broader AI model library across radiology subspecialties
Cardiology AI Capabilities
Viz.ai strong in aortic dissection and TAVR; both competitive in PE
Care Team Communication
Viz.ai mobile notification and coordination workflow is more developed
PACS Integration Depth
Aidoc integrates with a wider range of PACS systems
Incidental Findings Management
Aidoc has stronger incidental findings tracking and follow-up workflow
FDA Clearances
Aidoc has a larger portfolio of cleared indications across subspecialties
Verdict
This comparison is context-dependent. Viz.ai scores 30/35 and Aidoc scores 32/35. Choose based on your specific workflow needs.
Bottom Line
Viz.ai and Aidoc both lead in radiology AI but with different scope. Viz.ai pioneered the time-critical care coordination model - AI flagging stroke and PE on CT scans plus orchestration platform that connects radiologists, neurologists, and surgeons in real-time. Aidoc is the broader radiology AI platform covering more body regions and pathologies (chest, abdomen, brain) with deeper integration into the standard radiology workflow. Pick Viz.ai if your stroke/PE care coordination is the priority. Pick Aidoc for broader radiology AI coverage.
Pick Viz.ai
You are a stroke centre, ED-heavy hospital, or health system prioritising time-critical neurovascular care coordination. Viz.ai (custom enterprise) combines AI detection with care-team orchestration - the workflow is the differentiator, not just detection.
Pick Aidoc
You are a radiology department wanting broader AI coverage across body regions and pathologies. Aidoc (custom enterprise) ships AI for stroke, PE, brain bleed, plus chest, abdomen, and other body regions in one platform.
Frequently asked
Are these competing?
They overlap on stroke and PE detection but Viz.ai's differentiator is care coordination workflow, not just AI detection. Some hospitals deploy both: Aidoc for radiology breadth, Viz.ai for stroke/PE care coordination.
How does care coordination work?
Viz.ai connects radiologists, neurologists, and surgeons via mobile app the moment AI detects a critical finding. Specialists view scans, communicate, and coordinate transfer or treatment in minutes vs hours of traditional paging workflows.
Implementation timeline?
Both 2-6 months. Viz.ai requires more change management because care coordination workflow affects multiple specialties; Aidoc primarily affects radiology workflow.
Pricing?
Both custom enterprise. Typical deals: Viz.ai $200K-$2M+/year depending on specialty modules and care coordination scope; Aidoc $200K-$2M+/year depending on imaging volume and module breadth.