Doctors’ and residents’ perspectives on artificial intelligence in medicine: a survey on educational needs and curriculum integration

A questionnaire was designed to investigate the perspectives of medical staff and students on the clinical use of medical artificial intelligence and the necessity and approaches for integrating artificial intelligence education in hospitals and medical schools. A cross-sectional survey was conducted using a structured questionnaire. The study targeted Attending Doctors and Residents at the Second Hospital of Tianjin Medical University. Separate but similar questionnaires were designed for each group, comprising 27 items across three sections: (1) Demographics and Artificial Intelligence literacy, (2) Attitudes toward clinical AI applications, and (3) Preferences for AI curriculum integration. Data collection was performed via Sojump (a widely used online survey platform in China) using Quick Response codes distributed through WeChat or email. Statistical analyses, including Chi-square tests, reliability analysis (Cronbach’s α), and validity analysis (Kaiser-Meyer-Olkin, KMO), were conducted using SPSS 25.0 to assess differences between the two cohorts and ensure data robustness. Doctors and resident physicians generally have a moderate understanding of AI (58.46%), and few have experience using AI or have taken courses in AI (25.74%); doctors and resident physicians generally have a favorable view of AI. Most doctors (74.63%) agreed that AI could partially replace doctors’ work in certain situations. Doctors and resident physicians are willing to learn more about AI (78.7% and 52.43%, respectively). The findings of this survey indicate a perceived readiness among our doctors and resident physicians to engage with AI-related content and a demand for its integration into clinical teaching.