Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the issue of fairness remains a concern in high-stakes fields such as healthcare. Despite extensive discussion and efforts in algorithm development, AI fairness and clinical concerns have not been adequately addressed. In this paper, we discuss the misalignment between technical and clinical perspectives of AI fairness, highlight the barriers to AI fairness' translation to healthcare, advocate multidisciplinary collaboration to bridge the knowledge gap, and provide possible solutions to address the clinical concerns pertaining to AI fairness.

翻译：人工智能（AI）已展现出从数据中提取洞察的能力，但在医疗等高影响领域，公平性问题仍令人担忧。尽管在算法开发方面已开展了广泛讨论并付出诸多努力，但AI公平性与临床关切尚未得到充分解决。本文探讨了AI公平性在技术视角与临床视角之间的错位，揭示了AI公平性向医疗领域转化面临的障碍，倡导通过多学科协作弥合认知鸿沟，并提出针对AI公平性相关临床关切的可能性解决方案。