Aengus Tran

Physician-engineer Aengus Tran has turned a clinical frustration into a specialist AI company spanning radiology and pathology. The 2025–2026 record combines regulated diagnostic products, international deployment and an ambitious research model designed to draft radiology reports from images, history and prior studies.

Aengus Tran trained as a physician before moving into artificial intelligence, bringing clinical workflow rather than abstract technical novelty to the centre of his work. He co-founded Harrison.ai in Sydney in 2018 and built the company around a clear proposition: medical AI should support specialists at the point where diagnostic volume, complexity and time pressure intersect. Its radiology and pathology systems are developed by a multidisciplinary team rather than by Tran alone. The company says its products have reached more than 1,000 sites in over 40 countries, supporting 3,400 clinicians and more than seven million patients. Those adoption figures remain company-reported, but the regulatory record is concrete. By March 2026, the company said it held nine United States clearances covering 13 radiological findings, including clearance for acute-infarct triage on non-contrast brain CT. In June 2026, the research team released Harrison.Rad 1.5, a foundation model designed to draft reports using images, prior studies and clinical context. The model was explicitly described as research-only and not cleared for clinical use. Tran’s contribution is the institution he has assembled: clinically grounded, internationally deployed and increasingly capable of conducting foundational research alongside regulated product development.