Viz.ai vs Aidoc
A detailed comparison to help you choose between Viz.ai and Aidoc.
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Verdict: Aidoc wins
Aidoc scores 4.2/5, edging out Viz.ai at 4.0/5. Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions.
Viz.ai AI care coordination for time-sensitive conditions | Aidoc AI powered radiology image analysis platform | |
|---|---|---|
| Rating | 4.0 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $500/mo | From $10000/mo |
| Best For | Hospitals and health systems running stroke, PE or other time-sensitive pathways that want FDA-cleared detection wired directly into specialist mobilization — and can support a full IT integration. | Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | ssoteam features | api accessteam featuresgdpr compliant |
| Visit Viz.ai → | Visit Aidoc → |
Viz.ai
Pros
- + More than 50 FDA-cleared algorithms — regulated device claims, not marketing benchmarks
- + The alert loop is engineered for the clock: in my demo session the mobile alert carried the CTA images with one-tap access, no PACS detour
- + Medicare NTAP of roughly $1,040 per qualifying Viz LVO use — a payer-level validation rare in clinical AI
- + Suite model (Neuro, Cardio, Vascular, Pulmonary, Trauma, Radiology) reuses one coordination layer, so adding a pathway is not buying a new product
- + Peer-reviewed outcomes evidence and ~1,700 hospital deployments (third-party reported) give procurement teams real reference sites
Cons
- - Zero price transparency: no pricing page, no self-serve, no trial — every deal is quoted per facility
- - Requires deep hospital IT integration (PACS, on-call routing), so time-to-value is measured in months
- - Detection coverage is a fixed list of time-sensitive conditions; no incidental-findings or general radiology workflow
- - Economic case leans on stroke-center volume; smaller hospitals may not recoup the subscription via NTAP
- - Third-party revenue trackers (~$40M in 2023) suggest the business is still scaling against stated ARR ambitions
Aidoc
Pros
- + Widest FDA-cleared acute triage portfolio I have reviewed: 31 authorisations on the FDA's December 2025 list, plus the first multi-indication clearance covering 14 abdominal CT findings in one workflow
- + Multi-triage consolidation meaningfully reduces alert noise — one flagged study produces one stacked panel, not one pop-up per algorithm
- + Real-world deployment evidence: Mercy Health documented urgent case turnaround falling from 19.8h to 1.3h across 50+ hospitals, with 5,642 patients expedited from 50,749 flagged findings
- + Vendor-neutral aiOS layer lets a health system run third-party and Aidoc algorithms through one governance and notification stack (17 FDA-cleared algorithms deployed at Hartford HealthCare)
- + Care Coordination and Patient Management close the loop beyond triage: mobile alerts with image context, and report mining that routes incidental findings to facility-defined follow-up protocols
Cons
- - No public pricing, no trial, no free tier — third-party estimates of ~$50k/site/year baseline with $8k-$15k per extra module are unverifiable until you are deep in a sales process
- - Hospital-only: requires PACS/RIS/EHR integration work, so it is irrelevant to individual clinicians, small practices and low-volume facilities
- - 510(k) clearance for most modules does not itself require independent clinical performance data (per JAMA Network Open) — buyers should demand the study set, not just the clearance count
- - No public changelog for algorithm updates, which is a real gap for a system whose output feeds clinical decisions
- - Vendor performance figures (order-of-magnitude false-alert reduction, 1,600+ hospitals) are company claims I could not independently audit
Frequently Asked Questions
Which is better, Viz.ai or Aidoc?▼
Aidoc scores higher at 4.2/5 vs 4.0/5 for Viz.ai, making it the better-rated option in our comparison.
What is the difference between Viz.ai and Aidoc?▼
Viz.ai: Viz.ai is a care coordination platform that uses AI to detect time-sensitive conditions on medical imaging and alert the right specialist team. Aidoc: Aidoc analyses medical imaging to flag urgent findings for radiologists and care teams, prioritising the cases that need attention first.
Is Viz.ai or Aidoc more affordable?▼
Viz.ai starts at €500/mo, Aidoc starts at €10000/mo. Check the comparison table above for current pricing.
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