Aidoc runs quietly behind hospital radiology, analyzing CT scans and X-rays the moment they are acquired and flagging suspected critical findings, brain bleeds, pulmonary embolisms, strokes, fractures, so care teams treat the sickest patients first.

Its FDA-cleared algorithms cover a broad and growing set of acute pathologies, and its aiOS platform orchestrates them across the imaging workflow: prioritizing worklists, activating response teams, and coordinating cross-department care pathways like stroke and PE response. Because it operates in the background of PACS rather than as another screen, adoption survives clinical reality, radiologists just see urgent cases float upward with the AI's reasoning attached. Hundreds of hospitals worldwide run it as care-coordination infrastructure.

Who is it for?

Hospitals and radiology groups managing high imaging volumes, and health systems building AI-coordinated acute-care pathways. It is clinical infrastructure procured by institutions, not clinician-downloadable software.

How much does Aidoc cost?

Enterprise licensing customized to modules, volumes, and integration scope, procured through clinical and IT evaluation with published outcome studies supporting the business case.

Our verdict

Aidoc is one of the most validated clinical AI deployments in existence, with real evidence on time-to-treatment for emergencies. As a directory pick it represents medical AI at its most serious: regulated, embedded, and measurably life-saving.