Reuben Jayne S, Meiri Hila, Arien-Zakay Hadar
Texas A&M School of Dentistry, Dallas, TX, United States.
Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Front Digit Health. 2024 Nov 5;6:1458811. doi: 10.3389/fdgth.2024.1458811. eCollection 2024.
Artificial Intelligence (AI) has the potential to revolutionize medical training, diagnostics, treatment planning, and healthcare delivery while also bringing challenges such as data privacy, the risk of technological overreliance, and the preservation of critical thinking. This manuscript explores the impact of AI and Machine Learning (ML) on healthcare interactions, focusing on faculty, students, clinicians, and patients. AI and ML's early inclusion in the medical curriculum will support student-centered learning; however, all stakeholders will require specialized training to bridge the gap between medical practice and technological innovation. This underscores the importance of education in the ethical and responsible use of AI and emphasizing collaboration to maximize its benefits. This manuscript calls for a re-evaluation of interpersonal relationships within healthcare to improve the overall quality of care and safeguard the welfare of all stakeholders by leveraging AI's strengths and managing its risks.
人工智能（AI）有潜力彻底改变医学培训、诊断、治疗规划和医疗服务，同时也带来了诸如数据隐私、技术过度依赖风险以及批判性思维的保留等挑战。本文探讨了人工智能和机器学习（ML）对医疗互动的影响，重点关注教师、学生、临床医生和患者。人工智能和机器学习早期纳入医学课程将支持以学生为中心的学习；然而，所有利益相关者都需要接受专门培训，以弥合医疗实践与技术创新之间的差距。这凸显了关于人工智能道德和负责任使用的教育的重要性，并强调通过协作来最大化其益处。本文呼吁重新评估医疗保健中的人际关系，以利用人工智能的优势并管理其风险，从而提高整体护理质量并保障所有利益相关者的福祉。
