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Radiology found itself in the crosshairs of the debate about AI automating jobs when in 2016 AI expert Geoffrey Hinton said that AI would do just that to radiologists. That hasn't happened - but will it?  To get to the bottom of this, I talked with Matthew Lungren, MD, Chief Medical Information Officer at Nuance Communications, a Microsoft company applying AI to healthcare workflows, and the name that comes at the top of the list when you look up #radiology and #AI. He also has a pediatric radiology practice at UCSF  and previously led the Stanford [University] Center for Artificial Intelligence in Medicine and Imaging. More recently he served as Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare. He has an impressive oeuvre of over 100 publications, including work on multi-modal data fusion models for healthcare applications, and new computer vision and natural language processing approaches for healthcare-specific domains.

In this interview conclusion, we talk about the details of how AI including large language models can be an effective part of a radiologist’s workflow how decisions about integrating AI into medicine can be made, and where we might be going with it in the future.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.