ÎÛÎÛ²ÝÝ®ÊÓƵ's Seminar Series in Quantitative Life Sciences and Medicine
Sponsored by CAMBAM, QLS, MiCM and the Ludmer Centre
°Õ¾±³Ù±ô±ð:ÌýGood machine learning for better healthcare
³§±è±ð²¹°ì±ð°ù:ÌýNigam Shah (Stanford University)
°Â³ó±ð²Ô:ÌýTuesday, April 23, 2019, 12-1pmÂ
°Â³ó±ð°ù±ð:ÌýMontreal Neurological Institute, DeGrandpre Communications Centre
Abstract: We will discuss Stanford Medicine's Program for Artificial Intelligence (AI) in Healthcare, with the mission of bringing AI technologies to the clinic, safely, cost effectively and ethically. Using our experience in deploying a prediction model to improve access to palliative care services, we will discuss potential solutions to issues relating to model correctness, interpretability, fairness, and equity as well as issues such as autonomy of decision making and fiduciary responsibility. Drawing on our experience in running a clinical consult service for generating evidence from the collective experience of patients, we will discuss the challenges as well as potential solutions to use aggregate patient data at the bedside.