The wide application of artificial intelligence (AI) technology in the medical field is reshaping the boundaries of medicine. AI technology not only significantly improves the efficiency of medical services and the accuracy of diagnostic decisions, but also brings new opportunities for scenario-based teaching, practice-oriented development, and precision assessment in medical humanities education. At the same time, due to the inherent limitations of AI technology itself and the excessive reliance on it by doctors, problems such as the weakening of doctors′ comprehensive capabilities, the crisis of physician-patient trust, and the difficulty in defining medical responsibilities have arisen, putting medical humanities education face to face with new challenges. In recent years, The First Affiliated Hospital of Sun Yat-sen University has fully integrated AI technology with medical humanities education through various initiatives, including top-level design, the reconstruction of a full-cycle integrated humanities education curriculum system, the construction of an interdisciplinary and composite ″AI+″ faculty team, the establishment of a diversified evaluation system, and hospital-industry collaborative innovation. While maintaining the core position of medical humanities education, the hospital has fully leveraged AI technology for empowerment, aiming to cultivate composite medical professionals with both clinical competence and medical humanistic spirit, and provide references for the reform of medical humanities education under the Healthy China strategy.
Zhang Kunsong
,
Zhang Junlong
,
Feng Shaoting
,
Chen Wei
,
Kuang Ming
,
Xiao Haipeng
. Opportunities, challenges and integration paths of medical humanities education in the AI era[J]. Chinese Journal of Medical Education, 2026
, 46(4)
: 241
-246
.
DOI: 10.3760/cma.j.cn115259-20250707-00751
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