Australian-founded Harrison.ai has launched a new radiology foundation model capable of generating draft reports from medical images, prior studies and clinical information, positioning the technology as a future assistant for radiologists rather than a standalone diagnostic tool.
Harrison.Rad 1.5 is the only AI model to pass the Royal College of Radiologists’ FRCR 2B Short Case exam, the standard used to certify UK radiologists.
Harrison.Rad 1.5 advances the program Harrison.ai began with Harrison.Rad 1 in 2024, which established the company as a leader in domain-specific foundation models for radiology.
But it says the new release is broader with stronger reasoning across complex, multi-finding studies, sharper anatomical localisation, broader coverage across body parts, and the ability to read a current study against a prior and describe “what has changed in natural radiologist prose rather than a checklist of flagged findings”.
Harrison.ai CEO and co-founder Dr Aengus Tran said, “You can’t skip steps in radiology AI. Before an AI model can help generate a report, it has to be excellent at detection, and that’s what we’ve been tirelessly working on over the past eight years.
“Our regulatory-approved detection products for chest X-rays, Brain CTs and Chest CTs are being used every day, impacting more than a million patients per month. Harrison.Rad 1.5 is the next step towards bringing meaningful innovation forward that will impact the future practice of radiology.
“Reporting is where radiologists spend their time. The future is where our Harrison.Rad foundation model drafts a high-quality report for the radiologist to review and sign off, without replacing their judgement,” he said.
Harrison.Rad.1.5 is intended for research, benchmarking, and evaluation purposes only. Harrison.ai is actively pursuing regulatory clearance, approval, or certification for products built on these foundational models in major markets including the US and EU countries.
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