Understanding the Impact of AI Doctors' Information Quality on Patients' Intentions to Adopt AI for Independent Diagnosis: Scenario-Based Experimental Study.

Journal: Journal of medical Internet research
Published Date: Aug 19, 2025

Abstract

BACKGROUND: The development of artificial intelligence (AI) systems capable of independent diagnosis offers a promising solution for optimizing medical resource allocation, especially as their diagnostic accuracy can exceed that of some primary medical staff. However, despite these advancements, many patients exhibit hesitancy toward accepting AI technology, particularly for autonomous diagnostic roles. The mechanisms through which the information quality presented by AI doctors influences patients' intention to adopt them for independent diagnosis remain unclear.

Authors

  • Yongmei Liu
    Institute of Systems Genetics, Department of Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610000, China.
  • Zichun Wang
    Business School, Central South University, Xiaoxiang Middle Road, Jiangwan Building, Xiaoxiang Campus of Central South University, Changsha, 410083, China, 86 18419221269.
  • Bo Peng
    Institute for Environmental and Climate Research, Jinan University, Guangzhou, China.

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