Aidoc

What is Aidoc?

Aidoc is a clinical AI company whose software reads medical scans in the background and flags urgent findings, such as suspected stroke or pulmonary embolism, for the care team. Flagged studies move up the radiologist’s worklist, and the relevant specialists receive an alert on desktop or phone.

Everything runs on aiOS, an enterprise platform that hosts Aidoc’s own algorithms alongside more than 100 third-party and OEM partner solutions. The company says aiOS monitors imaging around the clock, draws in EHR and scheduling data, and can be live within two to three weeks. Its radiology catalogue spans neurovascular, chest, abdominal, aortic, venous and cardiac findings across CT, X-ray and echocardiography.

Aidoc was founded in 2016 by four founders with Israeli military technology backgrounds. Its site reports use in more than 1,600 hospitals, around 60 million patients analysed each year and over 220 published studies. In January 2026 it announced FDA clearance for a triage product built on CARE, its clinical foundation model, covering 14 acute CT indications, and it reported a $150 million Series E in April 2026. Its tools assist qualified clinicians; they do not diagnose and nothing they output is medical advice.

Key Features

Triage alerts and the aiOS platform do most of the work, because together they move urgent scans forward and keep every algorithm in one place.

• Triage alerts: Suspected acute findings, such as intracranial haemorrhage or large vessel occlusion, are pushed to the top of the reading queue. Aidoc’s radiology page reports 96.2 per cent sensitivity and negative predictive value for its haemorrhage algorithm.
• CARE foundation model: CARE checks one CT study for several acute conditions at once instead of running a narrow algorithm per finding. The January 2026 clearance covered 14 indications, and Aidoc plans to extend the approach across CT and X-ray.
• aiOS orchestration: aiOS decides which algorithms run on which studies and shows the results in a single widget, whoever built the model. More than 100 partner and OEM solutions can sit beside Aidoc’s own tools on the same layer.
• Care coordination: Stroke, pulmonary embolism and aortic teams get real-time notifications and can view images and data on desktop or mobile. Aidoc’s homepage cites a 34 per cent cut in stroke door-to-puncture time, about 38 minutes saved.
• Patient management: The platform mines finalised radiology reports for confirmed and incidental findings, then routes them to the right follow-up team. Aidoc reports that 99 per cent of eligible aortic aneurysm patients were scheduled for long-term follow-up.
• Analytics and ROI tracking: Dashboards show alert volumes, turnaround times and follow-up rates for each site and service line. Aidoc points to more than 220 published studies and claims health systems can expect a three to five times return on investment.

Pros

Regulatory breadth makes Aidoc an easy shortlist pick, since the company claims the largest portfolio of FDA-cleared imaging algorithms on a single platform.

• Regulatory depth: Many cleared algorithms already sit on one platform, and Aidoc’s about page lists 17 FDA clearances. That reduces the regulatory groundwork a hospital must do before switching on each new use case.
• Measured time savings: Company figures report 31 per cent faster notification for pulmonary embolism and a 41 per cent drop in turnaround for positive cases. Those minutes matter most in emergency departments handling stroke and PE overnight.
• Stays in existing tools: Radiologists keep their usual PACS and worklist, with Aidoc results appearing in a compact widget. Less switching between screens means readers are more likely to act on alerts rather than ignore them.
• Wide clinical coverage: Findings span neurovascular, chest, abdominal, aortic, venous and cardiac conditions across CT, X-ray and echocardiography. Aidoc states its solutions cover 75 per cent of patients in a typical health system.
• Quick go-live: Aidoc quotes an implementation time of two to three weeks with limited IT effort. That is short for enterprise clinical software, so a pilot can produce local data within a single quarter.

Cons

Opaque pricing is the first hurdle, because Aidoc publishes no rates and every contract starts with a demo and a custom quote.

• No public pricing: Budgets cannot be estimated without a sales conversation and a formal proposal. Futurepedia describes a subscription based on scan volume, but Aidoc itself does not confirm that model publicly.
• Enterprise only: Small clinics and individual radiologists cannot sign up, test or buy a single seat. Deployment needs PACS and EHR integration, so an interested clinician has to work through hospital IT and leadership.
• Alert fatigue risk: Untuned notifications can add noise to an already busy reading room. Hospitals should agree thresholds and escalation rules early, then review false positives in the analytics during the first months.
• Clearances vary by region: An indication cleared by the FDA may not be cleared, or may carry different conditions, in other markets. International buyers need to check which modules are approved for use in their own country.
• Vendor-reported evidence: Many headline figures, such as minutes saved and ROI multiples, come from Aidoc or its customer case studies. Results in your own patient mix can differ, so local validation remains essential.

Who is Using Aidoc?

Hospital radiology departments form the core user base, and Aidoc reports deployment in more than 1,600 medical centres worldwide.

• Radiology departments: Radiologists use worklist prioritisation to read suspected bleeds, PEs and fractures first. Reading-room leads also track turnaround times through the platform analytics.
• Stroke and PE response teams: Neurologists, interventionalists and PE response teams receive mobile alerts with images attached. They use them to coordinate transfers and treatment decisions faster.
• Health system executives: Chief medical and information officers use aiOS to standardise AI across many hospitals. One contract and one platform replace a patchwork of single-algorithm vendors.
• Quality and follow-up teams: Care navigators track incidental findings such as aortic aneurysms and pulmonary nodules. The patient management tools help make sure patients are booked for follow-up rather than lost.

Pricing

Aidoc does not publish prices, so hospitals request a quote after a demo (official site, checked October 2026).

Capterra shows a placeholder rate and no trial, one comparison site claims a trial exists, and Futurepedia describes scan-volume pricing; Aidoc confirms none of these.

Disclaimer: clinical AI contracts depend on modules, sites and integration scope, so treat any figure as provisional until you hold a written quote.

What Makes Aidoc Unique?

An orchestration layer paired with its own foundation model separates Aidoc from imaging AI vendors that sell one algorithm per condition. CARE checks several acute findings in one pass, while aiOS lets partner algorithms share the same alerts, widget and analytics.

That design suits health systems that want one AI layer across many sites. Aidoc also publishes its BRIDGE guidelines, a framework for bringing AI into clinical practice, which gives governance committees a structure for evaluation and roll-out.

Compatibilities and Integrations

Aidoc plugs into the hospital IT stack rather than replacing it, connecting to PACS, worklists, EHR data and mobile devices.

• Imaging systems: Existing PACS and radiology worklists, with results shown in one widget.
• Clinical data: EHR and scheduling data feed routing and follow-up.
• Devices: Desktop and mobile workflows for alerts, image viewing and team messaging.
• Partners: Over 100 third-party and OEM algorithms run on aiOS, and Aidoc names AWS as a partner.
• API: Futurepedia lists API access for custom integrations; confirm the scope with Aidoc.

Aidoc Tutorials

Rollout is led by the hospital, and Aidoc says a typical deployment goes live in two to three weeks.

1. Book a demo and list the indications your sites need.
2. Confirm which modules are cleared in your country.
3. Connect PACS, worklists and EHR data with Aidoc’s implementation team.
4. Train radiologists and response teams on alerts and the mobile workflow.
5. Agree thresholds and escalation rules to limit alert fatigue.
6. Review analytics monthly against your local baseline.

How We Rated It

Aidoc earns 4.0 out of 5, as validated triage and wide indication coverage are held back by private, enterprise-only pricing.

Summary

Aidoc is a strong fit for hospitals and health systems that want imaging AI working inside their current PACS and worklist tools. It covers a wide spread of acute findings and has a long regulatory track record. Access is the main limitation, because pricing is private and there is no route in for small clinics. It supports, and never replaces, a qualified reader, so its output is not medical advice. Before signing, ask for local validation data and a list of indications cleared where you practise.