Ethical Challenges and Medical Humanities Education Strategies in the Application of Artificial Intelligence in Healthcare

Gao Yu-hua; Wang Ming-yang

doi:10.3969/j.issn.2095-9753.2025.06.010

Abstract：While artificial intelligence(AI)technology reshapes the modern healthcare system,it has also triggered ethical dilemmas such as data privacy erosion and data security,algorithmic bias,responsibility attribution,and structural alienation of doctor-patient relationships.This article analyzes the ethical misconduct phenomenon in the application scenarios of AI in healthcare,reveals the inherent conflict between the rationality of technological tools and the value of medical humanities,and proposes the construction of a technology plus ethics and humanities collaborative development medical humanities education system.Specifically,at the level of curriculum construction,we innovatively design a curriculum module that integrates three elements including technical ethics,practice training and value shaping.In terms of training mode,we promote a collaborative education mechanism contains clinical medical mentors and AI engineers.In terms of evaluation system,a multidimensional evaluation framework covering the entire lifecycle of AI medical products is constructed,including technical reliability assessment(including algorithm transparency audit),ethical compliance review(covering bias detection and privacy protection mechanisms),and humanistic adaptability assessment(focusing on the impact of doctor-patient relationships and emotional connections),and the cultivation of evaluation ability will be organically integrated into the medical humanities curriculum system.This study aims to provide an innovative path that combines theoretical depth and practical value for resolving ethical dilemmas in the field of AI healthcare through the above mentioned systematic solutions.