7/5/2023 0 Comments Textwell vs drafts![]() “We expect to see a significant change in the way medical AI will operate,” continued Moor. “The exciting and the groundbreaking part is that generalist medical AI models will be able to ingest different types of medical information – for example, imaging studies, lab results, and genomics data – to then perform tasks that we instruct them to do on the fly,” said Leskovec. But recent advances in foundation model research promise to solve more diverse and challenging tasks. ![]() Of the more than 500 AI models for clinical medicine approved by the FDA, most only perform one or two narrow tasks, such as scanning a chest X-ray for signs of pneumonia. “The potential impact of generalist medical AI models could be profound because they wouldn’t be just an expert in their own narrow area, but would have more abilities across specialties.” Medicine without borders “A lot of inefficiencies and errors that happen in medicine today occur because of the hyper-specialization of human doctors and the slow and spotty flow of information,” said co-first author Michael Moor, an MD and now postdoctoral scholar at Stanford Engineering. These GMAI models will provide spoken explanations, offer recommendations, draw sketches, and annotate images. Leskovec and his collaborators chronicle how GMAI will interpret varying combinations of data from imaging, electronic health records, lab results, genomics, and medical text well beyond the abilities of concurrent models like ChatGPT. Their perspective on this advance is published in the April 12 issue of Nature. Stanford researchers and their collaborators describe generalist medical artificial intelligence, or GMAI, as a new class of medical AI models that are knowledgeable, flexible, and reusable across many medical applications and data types. Now we are entering a new era, where it’s much more about larger pieces of the puzzle in this high stakes field.” “Previously, medical AI models could only address very small, narrow pieces of the health care puzzle. ![]() “We see a paradigm shift coming in the field of medical AI,” said Jure Leskovec, professor of computer science at Stanford Engineering. This potential versatility in the doctor’s office is only now possible due to the latest generation of AI models. (Image credit: iStock/metamorworks)ĭoctors across all disciplines, with assistance from artificial intelligence, may soon have the ability to quickly consult a patient’s entire medical file against the backdrop of all medical health care data and every published piece of medical literature online. Generalist medical AI models could accomplish a wide variety of tasks within and across disciplines – even without having been trained specifically on the assigned tasks. ![]()
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