Gerdes Anne, Fasterholdt Iben, Rasmussen Benjamin Sb
CAI-X - Centre for Clinical Artificial Intelligence, Odense Universitetshospital.
CIMT - Center for Innovativ Medicinsk Teknologi, Odense Universitetshospital.
Ugeskr Laeger. 2024 Jul 8;186(28):V09230600. doi: 10.61409/V09230600.
Artificial Intelligence (AI) holds promise in improving diagnostics and treatment. Likewise, AI is anticipated to mitigate the impacts of staff shortages in the healthcare sector. However, realising the expectations placed on AI requires a substantial effort involving patients and clinical domain experts. Against this setting, this review examines ethical challenges related to the development and implementation of AI in healthcare. Furthermore, we introduce and discuss various approaches, guidelines, and standards that proactively aim to address ethical challenges.
人工智能(AI)有望改善诊断和治疗。同样,预计人工智能将减轻医疗保健部门人员短缺的影响。然而,要实现对人工智能的期望,需要患者和临床领域专家付出巨大努力。在此背景下,本综述探讨了医疗保健领域人工智能开发和实施相关的伦理挑战。此外,我们介绍并讨论了旨在积极应对伦理挑战的各种方法、指南和标准。