Ethical Dilemmas and Coping Strategies in the Application of AI in the Medical Field

Abstract

With the expanding application of Artificial Intelligence (AI) technology in medical diagnosis, treatment plan formulation, drug research and development, and other areas, AI has significantly improved the efficiency of diagnosis and treatment in the medical field. However, it has also brought about a series of practical challenges. Therefore, this study focuses on the ethical dilemmas arising from AI applications in healthcare and explores corresponding coping strategies. By extensively reviewing domestic and international academic papers, industry reports, policies, and regulations related to AI medical ethics, this research summarizes existing findings and perspectives, categorizing the ethical dilemmas into six key areas: issues of data privacy and security, algorithmic bias and fairness, responsibility attribution, clinical application challenges, lagging ethical review and legislation, and problems with patients’ right to autonomy and informed consent. To address these practical issues, the study proposes targeted policy recommendations, including establishing a full-process data governance system, implementing full-lifecycle algorithm management, enhancing training for medical professionals, and improving the ethical and humanistic support system. The aim is to promote the healthy and sustainable development of AI technology in the medical industry while safeguarding patients’ rights and interests.