Aidoc builds AI software that reads CT and X-ray scans as they come off the machine and flags the ones showing life-threatening findings, things like a pulmonary embolism, intracranial hemorrhage, or aortic dissection, so radiologists see the urgent case first instead of working through the queue in order. It runs quietly in the background of a hospital's existing imaging workflow through its BriefCase platform, sending alerts to the reading list and to care teams, and it's built to sit alongside radiologists rather than replace their reads.
The company holds more than 30 FDA clearances, more than any other radiology AI vendor, and is deployed in close to 2,000 hospitals processing tens of millions of scans a year. Its customers are hospital radiology departments and emergency departments, particularly ones under pressure from scan volume and staffing shortages, where a missed or delayed read on a bleed or clot can cost a patient's life. In 2026 Aidoc pushed further with CARE, a foundation model cleared by the FDA that triages a broad set of acute abdominal and body CT conditions through one model rather than a collection of single-finding algorithms, and it's working on tools like automated draft radiology reports.
What separates Aidoc from most point-solution imaging AI companies is breadth and scale: instead of one algorithm for one condition, it runs a stack of triage tools across the whole body and across modalities, backed by a large deployed base that gives it real-world clinical data to refine on. That scale, plus its early and heavy FDA clearance count, is what's made it one of the most established names in clinical AI triage rather than a niche vendor with a single cleared algorithm.
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