Document Type
Article
Publication Date
11-2019
Abstract
Large cohort studies and more recently electronic medical records (EMR) are being used to collect massive amounts of genetic information. Implementation of artificial intelligence has become increasingly necessary to interpret this data with the goal of augmenting patient care. While it is impossible to predict what the future holds, policy makers are challenged to create guiding principles and responsibly roll out these new technologies. On March 22, 2019, the University of Utah hosted its fourth annual Precision Medicine Symposium focusing on artificial intelligence, assembling large cohorts, and the population data revolution. The symposium brought together experts in medicine, science, law and ethics to discuss and debate these emerging issues.
Recommended Citation
Bress, Adam; Albrechtsen, Rich; Baker, Monika; Contreras, Jorge L.; Fica, Zachary; Gamblin, Austin; Ratcliff, Chelsea; Rich, Bianca E.; Szaniawski, Matt A.; Thorman, Alyssa; VanSant-Webb, Chad; and Dere, Willard, "Frontiers in Precision Medicine IV: Artificial Intelligence, Assembling Large Cohorts, and the Population Data Revolution" (2019). Utah Law Faculty Scholarship. 196.
https://dc.law.utah.edu/scholarship/196