Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era

• Activity Number: 58 - Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era
• Type: Invited
• Date/Time: Sunday, July 28, 2019 : 4:00 PM to 5:50 PM
• Sponsor: Section on Statistics in Genomics and Genetics
• Author(s): Ying Lu* and Jean Yee Hwa Yang* and Haoda Fu* and Bin Chen* and Jing Huang*
• Companies: Eli Lilly and Company and Michigan State University and Stanford University and University of Sydney, Australia and Veracyte Inc.
• Keywords: Artificial Intelligence; Healthcare; Medical Research; Big Data; Automated diagnosis; High-dimensional statistics

Abstract

This panel aims to bring together experts from both academia and industry to debate the pros and cons of AI, which is changing many aspects of healthcare and medical research in the current big data era. In particular, due to the rapid advancement of biomedical and computing technologies (resulting in an explosion of large-scale clinical, molecular, biomedical and population-based datasets), the use AI in health care plan, diagnosis, therapies and treatment is becoming increasingly popular. Despite all this promise, the questions still remain: Is AI complementary and/or more effective to the traditional approach in medical research? Can AI be truly creative on its own? Is clinical practice and research using AI really a win-win for everyone, including doctors, patients, data scientists and broader society? Centering around these questions, the panelists are expected to deliver stimulating discussions and great insights through active interactions among the panelists and the audience.