Artificial Intelligence

AI and Machine Learning: Shaping the Future of Healthcare

Friday, August 10, 2018, 11:00am - 12:00pm PDTiCal
6th floor large conference room
This event is open to the public.
AI Seminar
Nigam Shah, Stanford Univeristy

It is now possible to examine the outcomes of decisions made by doctors during clinical practice to generate evidence from the collective experience of patients. The promise of personalized medicine hinges on accurate risk stratification (to decide who to treat) and elucidating treatment efficacy (to decide how to treat). Based on our experience running a bedside service to help doctors make better decisions based on similar patients, and in building predictive models to prioritize care, we will review strategies for, and issues involved in, bringing AI technologies to the clinic safely and ethically. We will also discuss a frame-work for analyzing the utility of ML in healthcare and discusses the implicit assumptions in aligning incentives for AI guided healthcare actions. 

Dr. Nigam Shah is Associate Professor of Medicine (Biomedical Informatics) at Stanford University, and a core member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system. Dr. Shah received the AMIA New Investigator Award for 2013, was elected into the American College of Medical Informatics (ACMI) in 2015 and into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University. More at:

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