Evaluations of AI Applications in Healthcare

Dr. Tina Hernandez-Boussard is an Associate Professor of Medicine (Biomedical Informatics), Biomedical Data Sciences, and Surgery at Stanford University. With a robust background in bioinformatics and health services research, her work focuses on applying innovative methods to large clinical datasets to enhance healthcare delivery. Over the past decade, Dr. Hernandez-Boussard has utilized electronic medical records and extensive digital data to monitor, measure, and predict healthcare outcomes through advanced machine learning and deep learning techniques. Her research infrastructure captures diverse data sources, transforming them into actionable knowledge that integrates seamlessly into clinical workflows. Dr. Hernandez-Boussard also serves as the Chairperson of the National Advisory Council for the Agency for Healthcare Research and Quality and is the Director of Faculty Development in Biomedical Informatics at Stanford. She holds a PhD in Computational Biology from Lyon University, a Master’s in Public Health from Yale University, and a Master’s in Health Services Research from Stanford University. Through her pioneering research and leadership roles, she is dedicated to advancing equitable healthcare practices and improving patient outcomes across diverse populations.

Dr. Mildred Cho is a Professor in the Division of Medical Genetics within the Department of Pediatrics and the Division of Primary Care and Population Health at Stanford University. She also serves as the Associate Director of the Stanford Center for Biomedical Ethics and directs the Center for Integration of Research on Genetics and Ethics. Dr. Cho earned her B.S. in Biology from the Massachusetts Institute of Technology in 1984 and her Ph.D. in Pharmacology from Stanford University in 1992. Her research primarily focuses on the ethical and social implications of genetic research, including applications in precision medicine, gene therapy, and synthetic biology. Recently, she has explored how data science, artificial intelligence, and mobile technologies can impact genomic and health data, emphasizing the importance of integrating ethical considerations into these advancements. Dr. Cho is a member of the National Institutes of Health's Novel and Exceptional Technology and Research Advisory Committee, reflecting her commitment to shaping responsible practices in biomedical research. Through her extensive work, she significantly contributes to understanding the intersection of genetics, ethics, and technology in healthcare.