Harrison.ai launches radiology-specific language model

Healthcare technology company Harrison.ai has launched Harrison.rad.1, a radiology-specific vision language model.

The model is now being made accessible to selected industry partners, healthcare professionals, and regulators around the world to spark collective conversations about the safe, responsible and ethical use of AI to revolutionise healthcare access and capability, and to improve patient outcomes, said the company in a statement.

Robyn Denholm, Board Director, Harrison.ai said, “The Harrison.rad.1 model is transformative and an exciting next step for the company. Harrison.ai is delivering on the promise of helping solve real-world problems more effectively and reliably and helping to save lives.”

The dialogue-based model is designed to perform a variety of functions including open-ended chat related to X-ray images, detecting and localising radiological findings, and generating reports, providing longitudinal reasoning based on clinical history and patient context. Clinical safety and accuracy are the model’s key priorities, the statement said.

The company’s existing radiology solution Annalise.ai has been cleared for clinical use in over 40 countries and is commercially deployed in healthcare organisations globally, impacting millions of lives annually. With the same dedication to rigour and care, the Harrison.rad.1 model will undergo further open and competitive evaluations by world-leading professionals.

Dr Aengus Tran, co-founder and CEO of Harrison.ai, said, “AI’s promise rests on its foundations — the quality of the data, rigour of its modelling and its ethical development and use. Based on these parameters, the Harrison.rad.1 model is groundbreaking.”

Harrison.rad.1 has been trained on real-world, diverse and proprietary clinical data, comprising millions of images, radiology studies and reports. The dataset is further annotated at scale by a large team of medical specialists to provide Harrison.rad.1 with clinically accurate training signals. This makes it the most capable specialised vision language model to date in radiology.

Tran said, “We are already excited by the performance of the model to date. It outperforms major LLMs in the Royal College of Radiologists’ (FRCR) 2B exam by approximately 2x. The launch of this model and our plan to engage in further open and competitive evaluation by professionals underscores our commitment to responsible AI development.”

“Harrison.ai is committed to being a leading global voice in helping inform and contribute to an important conversation on the future of AI in health care. This is why we are making Harrison.rad.1 accessible to researchers, industry partners, regulators and others in the community to begin this conversation today.”

Image credit: iStock.com/Blue Planet Studio