Aidoc

Aidoc's Mercy deployment report states that 13 imaging AI solutions were deployed across more than 50 hospitals in four months; a five-month review recorded 50,749 incidental findings and accelerated clinical attention for 5,642 patients.

Aidoc reports deployment across more than 1,600 hospitals and broad health-system adoption.

Aidoc reports deployment across more than 1,600 hospitals and broad health-system adoption.

Aidoc describes CARE using self-supervised learning on large datasets to create reusable models for a modality and anatomy that can be tailored across disease states and detection, measurement and characterization tasks, rather than training each algorithm from pixel-level annotations.

Aidoc develops clinical AI and care-coordination technology across multiple radiology and acute-care workflows.

Aidoc develops clinical AI and care-coordination technology across multiple radiology and acute-care workflows.

Aidoc announced a $150 million Series E led by Goldman Sachs in April 2026, bringing reported cumulative funding to more than half a billion dollars.

Aidoc demonstrates organizational capability through regulated medical-AI development, multiple FDA clearances and enterprise health-system operations.

Aidoc demonstrates organizational capability through regulated medical-AI development, multiple FDA clearances and enterprise health-system operations.

Aidoc documents interoperability using DICOM, HL7 and FHIR across PACS, EHR, VNA, scheduling and clinical worklist systems.

ML and clinical AI skills are valuable but retain meaningful healthcare-domain and regulatory dependence.

ML and clinical AI skills are valuable but retain meaningful healthcare-domain and regulatory dependence.