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Economic Issues in AI-Assisted Healthcare
2026-01-05

Seminars topic: This talk examines key economic issues arising from the use of artificial intelligence in medical decision-making. Through three research studies, the speaker introduces frontier economic questions related to AI-assisted healthcare: (1) how AI assistance can help overcome medical overuse; (2) when and why explanations generated by medical AI systems help or harm decision quality; and (3) how AI can be used to screen and evaluate physician quality. Together, these studies shed light on the incentives, behavioral responses, and efficiency implications of integrating AI into healthcare delivery.

Scholars Background: Prof. WEI Lijia is a Professor and PhD supervisor at the School of Economics and Management, Wuhan University. He also serves as Director of the Department of Quantitative Economics and Mathematical Finance and Executive Director of the Behavioral Science Research Experimental Center. His research focuses on behavioral and experimental economics as well as digital economics. He has published in leading international journals including Marketing Science, Journal of Health Economics, Econometric Theory, Experimental Economics, European Economic Review, and AEA Papers and Proceedings, as well as top Chinese journals. He has led multiple projects funded by the National Natural Science Foundation of China and other national and ministerial research programs.

Time and Location: January 5, 2026, 14:00–15:30, Room A523, School of Management

Language: CN

Host: Prof. CHEN Fadong

Economic Issues in AI-Assisted Healthcare — seminar poster

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