How should an algorithm generate recommendations for patient care?
Dr. Jonathan Chen and his colleagues are working to answer the question, "How should an algorithm generate recommendations for patient care?" This question was tackled as the latest step in Dr. Chen’s quest to build OrderRex, a tool that will mine data from electronic health records to inform medical decisions.
BMIR Ascendant at 2018 Stanford AI in Medicine Symposium
BMIR faculty featured prominently at this year's AI in Medicine: Inclusion and Equity (AiMIE) symposium. Jonathan Chen kicked off the day by providing a brief introduction to commonly used buzzwords from AI to big data to deep learning to machine learning. Nigam Shah reviewed Stanford Medicine's Program for Artifical Intelligence (AI) in healthcare, which seeks to bring AI technologies to clinical care at Stanford in a safe, cost effective and ethical manner. Tina Hernandez-Boussard moderated the program wrap-up with nationally-recognized scholars from Medicine, Engineering and the Humanities discussing highlights from the day's talks within the context of exploring frameworks for an inclusive future of AI in healthcare.
Tierney Receives Kaiser Family Foundation Award for Preclinical Teaching
BMIR’s Michael Tierney is a recipient of the Henry J. Kaiser Family Foundation Award for Preclinical Teaching! The MD Program Teaching Awards honor faculty, residents, students and staff who have made outstanding contributions to medical student education at Stanford and are nominated by Stanford medical students.
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