Diagnostics & imaging AI · Radiology AI suite
Aidoc
Aidoc is a radiology AI suite for hospitals that want always-on triage and notification on imaging studies. It flags suspected acute findings and routes alerts into radiology and care-team workflows. It is not a full PACS replacement.
Strong fit
- Health systems operationalizing always-on triage for acute findings
- Radiology leaders measuring time-to-notification and missed critical results
- Organizations with PACS/EHR integration bandwidth and a clear alert governance plan
Weak fit
- Sites without radiology IT ownership for AI alert routing
- Buyers chasing a single narrow CAD algorithm rather than a platform
- Groups unwilling to fund change management for radiologist workflow
Bottom line
Aidoc earns a Recommend for imaging AI used in triage and notification workflows. Outcomes on time-to-critical-findings are the product's commercial core; product breadth across FDA-cleared algorithms helps, but too many low-value alerts make radiologists stop trusting the notifications. Implementation is PACS- and governance-heavy. Pricing is enterprise and often per-study or platform-licensed.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Aidoc earns a Recommend for imaging AI used in triage and notification workflows. Outcomes on time-to-critical-findings are the product's commercial core; Having many FDA-cleared algorithms is useful only if radiologists can act on the alerts. When the system fires too often on low-value findings, teams start ignoring the queue, and that is how these tools fail in practice. Implementation is PACS- and governance-heavy. Pricing is enterprise and often per-study or platform-licensed.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Aidoc | 7.9 | 7.5 |
| Rad AI | 7.7 | 7.2 |
| Viz.ai | 7.7 | 7.3 |
| Subtle Medical | 7.2 | 6.8 |
Pricing
| Item | Detail |
|---|---|
| Model | Enterprise imaging AI — often a platform fee plus per-study or algorithm packs. |
| What usually drives cost | PACS integration and radiologist training, on top of the license. |
| What to ask in diligence | A pilot on your top three acute pathways before expanding the algorithm catalog. |
| Published pricing | Public list price: not published. Expect a custom quote; confirm total cost at your volume. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Aidoc to function | |
| PACS/EHR integration bandwidth and radiology IT ownership | Alert routing without an owner becomes noise in the worklist. |
| A clear alert governance plan with radiologists | Too many low-value alerts train people to ignore the queue. |
| Always-on triage use cases (acute findings) with clinical champions | Platform breadth helps only if pathways are defined. |
| Change management budget for radiologist workflow | Algorithm licenses without workflow redesign stall after the pilot. |
| Willingness to start with a short list of high-value algorithms | Turning on the full catalog day one is a common trust-killer. |
| What will maximize your value | |
| Time-to-notification and missed-critical-result metrics | Those are Aidoc's commercial core outcomes. |
| Pilot top acute pathways before expanding the algorithm pack | Prove trust on a few findings first. |
| Joint radiology and ED (or specialty) governance for alert fatigue | Orchestration fails when only one department owns the noise. |
| Worklist integration that fits how radiologists already read | Extra portals get abandoned. |
| Model per-study or platform fees at your volume before signature | Enterprise imaging AI pricing surprises teams who only heard the pilot story. |
| Deal-breakers | |
| No radiology IT owner for AI alert routing. | |
| You only want a single narrow CAD algorithm with no platform or governance plan. | |
| Radiologists and leadership will not fund workflow change management. | |
| Alert governance is explicitly out of scope. | |
| PACS integration cannot be prioritized in the next two quarters. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract signed → kickoff | 3–8 weeks (security, PACS access, pathway selection) |
| 2 | Kickoff → first live workflow | 10–18 weeks for first acute algorithms in the radiologist worklist |
| 3 | First live workflow → steady value | 3–7 months of alert-threshold tuning and pathway expansion |
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category actually buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.