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.

The critical and highly regulated nature of healthcare has limited the application of other AI models to date. However, this new model and its applications are qualitatively different and open up a whole new conversation in radiology innovation and patient care, and the potential for regulatory assurance.
Dr. Aengus Tran noted, “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.”
