黑料不打烊

Dennis Zhang

Operations Management and Business Analytics
Carey School of Business, John Hopkins University

Global Advances in Medical Artificial Intelligence

Date: Friday, December 6, 2024
Time: 10:00 - 11:00 am
Location: Bronfman Building, Room 245

Abstract

Artificial intelligence (AI) has emerged as a transformative force in healthcare, with the U.S. Food and Drug Administration (FDA) approving 950 medical AI devices as of June 2024鈥攁 remarkable increase from 343 devices just three years ago, primarily for diagnostic and screening purposes. Yet, the real-world use of medical AI remains limited. Only a handful of FDA-cleared AI devices have more than 10,000 insurance claims as of June 2023, representing just one diagnostic area (coronary artery disease) and a single screening target (diabetic retinopathy). Scaling medical AI calls for a new stream of business research to advance medical AI globally (as opposed to locally), grounded in theoretical inquiry and real-world evidence at the micro, meso, and macro levels. Corresponding to each of these levels, this talk will address the behavioral, incentive, and policy aspects of advancing medical AI:Behavioral: I will share findings from a randomized controlled survey at Johns Hopkins Medicine that explores physicians' attitudes toward their peers' use of generative AI and the implications for AI and trust.

Incentive: I will explore how the trade-off between creativity and hallucination in generative AI system design reshapes moral hazard.

Policy: I will present recent research on a policy initiative aimed at reducing AI bias at the application layer, and its broad implications for both the downstream and upstream of medical AI.

Bio: Tinglong Dai is the Bernard T. Ferrari Professor of Business at Johns Hopkins University, where he co-directs the newly funded Bloomberg Distinguished Professor Cluster on Global Advances in Medical Artificial Intelligence. He is an expert in human-AI interaction, healthcare analytics, and global supply chains. His current work focuses on integrating AI into clinical workflows and improving productivity, access, and equity in healthcare.

A member of the Johns Hopkins faculty since 2013, Dr. Dai is a dynamic and acclaimed MBA teacher. He has developed and taught a first-of-its-kind MBA course, Data Science: Artificial Intelligence, which has been required for all full-time MBA students at Hopkins since 2021. Poets & Quants named him one of the World's Top 40-Under-40 Business School Professors.

A highly sought-after expert, Dr. Dai is frequently featured in major media outlets such as Bloomberg, CNN, The Guardian, The New York Times, NPR, The Wall Street Journal, and The Washington Post. He has appeared on national and international radio and television, including BBC, CNBC, and PBS. In recognition of his thought leadership, Dr. Dai was invited to deliver the commencement address at Carnegie Mellon University's Tepper School of Business Doctoral Commencement and Hooding Ceremony in 2023, as well as at Johns Hopkins University's Full-Time MBA Graduation Ceremony in 2021. He has also served on and spoken at several National Academies of Sciences, Engineering, and Medicine (NASEM) workshops.

In 2023, Dr. Dai was elected as Vice President of Marketing, Communication, and Outreach for INFORMS, the world鈥檚 largest association for the decision and data sciences. He serves as an Associate Editor of Management Science, Manufacturing & Service Operations Management, npj Digital Medicine, Health Care Management Science, Service Science, and Naval Research Logistics, and a Senior Editor of Production and Operations Management.

Dr. Dai has published extensively in top management journals, including Management Science, Manufacturing & Service Operations Management, Marketing Science, and Operations Research. His work has been recognized by numerous awards, including INFORMS Public Sector Operations Research Best Paper Award, POMS Best Healthcare Paper Award, and Wickham Skinner Early Career Award (runner-up). He is a three-time recipient of the Johns Hopkins Discovery Award.

Dr. Dai received his Ph.D. in Operations Management and Robotics in 2013, jointly offered by the Tepper School of Business and the School of Computer Sciences at Carnegie Mellon University.