BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250624T150250EDT-4532of0V4o@132.216.98.100 DTSTAMP:20250624T190250Z DESCRIPTION:Dennis Zhang\n\nOperations Management and Business Analytics\n C arey School of Business\, John Hopkins University\n\nGlobal Advances in Me dical Artificial Intelligence\n\nDate: Friday\, December 6\, 2024\n Time: 1 0:00 - 11:00 am\n Location: Bronfman Building\, Room 245\n\n\nAbstract\n\nA rtificial intelligence (AI) has emerged as a transformative force in healt hcare\, with the U.S. Food and Drug Administration (FDA) approving 950 med ical AI devices as of June 2024—a remarkable increase from 343 devices jus t three years ago\, primarily for diagnostic and screening purposes. Yet\, the real-world use of medical AI remains limited. Only a handful of FDA-c leared AI devices have more than 10\,000 insurance claims as of June 2023\ , representing just one diagnostic area (coronary artery disease) and a si ngle screening target (diabetic retinopathy). Scaling medical AI calls for a new stream of business research to advance medical AI globally (as oppo sed to locally)\, grounded in theoretical inquiry and real-world evidence at the micro\, meso\, and macro levels. Corresponding to each of these lev els\, this talk will address the behavioral\, incentive\, and policy aspec ts of advancing medical AI:Behavioral: I will share findings from a random ized controlled survey at Johns Hopkins Medicine that explores physicians' attitudes toward their peers' use of generative AI and the implications f or AI and trust.\n\nIncentive: I will explore how the trade-off between cr eativity and hallucination in generative AI system design reshapes moral h azard.\n\nPolicy: I will present recent research on a policy initiative ai med at reducing AI bias at the application layer\, and its broad implicati ons for both the downstream and upstream of medical AI.\n\nBio: Tinglong D ai is the Bernard T. Ferrari Professor of Business at Johns Hopkins Univer sity\, where he co-directs the newly funded Bloomberg Distinguished Profes sor Cluster on Global Advances in Medical Artificial Intelligence. He is a n expert in human-AI interaction\, healthcare analytics\, and global suppl y chains. His current work focuses on integrating AI into clinical workflo ws and improving productivity\, access\, and equity in healthcare.\n\nA me mber of the Johns Hopkins faculty since 2013\, Dr. Dai is a dynamic and ac claimed MBA teacher. He has developed and taught a first-of-its-kind MBA c ourse\, Data Science: Artificial Intelligence\, which has been required fo r all full-time MBA students at Hopkins since 2021. Poets & Quants named h im one of the World's Top 40-Under-40 Business School Professors.\n\nA hig hly sought-after expert\, Dr. Dai is frequently featured in major media ou tlets such as Bloomberg\, CNN\, The Guardian\, The New York Times\, NPR\, The Wall Street Journal\, and The Washington Post. He has appeared on nati onal and international radio and television\, including BBC\, CNBC\, and P BS. In recognition of his thought leadership\, Dr. Dai was invited to deli ver 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 Scienc es\, Engineering\, and Medicine (NASEM) workshops.\n\nIn 2023\, Dr. Dai wa s elected as Vice President of Marketing\, Communication\, and Outreach fo r INFORMS\, the world’s largest association for the decision and data scie nces. He serves as an Associate Editor of Management Science\, Manufacturi ng & Service Operations Management\, npj Digital Medicine\, Health Care Ma nagement Science\, Service Science\, and Naval Research Logistics\, and a Senior Editor of Production and Operations Management.\n\nDr. Dai has publ ished extensively in top management journals\, including Management Scienc e\, Manufacturing & Service Operations Management\, Marketing Science\, an d Operations Research. His work has been recognized by numerous awards\, i ncluding INFORMS Public Sector Operations Research Best Paper Award\, POMS Best Healthcare Paper Award\, and Wickham Skinner Early Career Award (run ner-up). He is a three-time recipient of the Johns Hopkins Discovery Award .\n\nDr. Dai received his Ph.D. in Operations Management and Robotics in 2 013\, jointly offered by the Tepper School of Business and the School of C omputer Sciences at Carnegie Mellon University.\n DTSTART:20241206T150000Z DTEND:20241206T160000Z LOCATION:Room 245\, Bronfman Building\, CA\, QC\, Montreal\, H3A 1G5\, 1001 rue Sherbrooke Ouest SUMMARY:Management Science Research Centre (MSRC) Seminar URL:/desautels/channels/event/management-science-resea rch-centre-msrc-seminar-361708 END:VEVENT END:VCALENDAR