Lee Kong Chian School of Medicine, Nanyang Technological University Singapore.
Ann Acad Med Singap. 2023 Dec 28;52(12):695-699. doi: 10.47102/annals-acadmedsg.2023272.
Artificial intelligence (AI) has permeated into every aspect of medicine and promises to provide accurate diagnosis, better management decision and improved outcome for patients and healthcare system. However, ethical, social and legal issues need to be resolved for successful implementation of AI tools in clinical practice. In order to gain trust and acceptance, AI algorithms should offer maximum explainability and inclusiveness. Robust evidence of benefit to patients and healthcare services has to be provided to gain justification of using these tools. Doctor-patient relationship needs to be maintained in order to gain trust and acceptance of users. Autonomy of decisions and dignity of patients need to be preserved while using machine in healthcare. Responsibility and accountability in the use of AI in medicine should be deliberated and defined before mishaps and damage occur. A new role of healthcare providers will emerge with the advancement of technology and changes are inevitable. This manuscript is based on the Gordon Arthur Ransome Lecture 2022 entitled "Artificial Intelligence in Medicine: Ethical, Social and Legal Perspective". It represents the opinion of the orator.
人工智能（AI）已经渗透到医学的各个方面，并有望为患者和医疗体系提供更准确的诊断、更好的管理决策和改善的结果。然而，为了在临床实践中成功实施 AI 工具，需要解决伦理、社会和法律问题。为了获得信任和认可，人工智能算法应该提供最大的可解释性和包容性。必须为患者和医疗服务提供有益的有力证据，以证明使用这些工具的合理性。为了获得用户的信任和认可，需要维护医患关系。在医疗保健中使用机器时，需要维护决策自主权和患者尊严。在发生意外和损害之前，应该对在医学中使用 AI 的责任和问责制进行审议和定义。随着技术的进步，医疗服务提供者将扮演新的角色，这些变化是不可避免的。本文基于 2022 年戈登·亚瑟·兰塞姆讲座的内容，题为“医学中的人工智能：伦理、社会和法律视角”。它代表了演讲者的观点。
