FUTURE-AI：医疗保健领域中值得信赖且可部署的人工智能国际共识指南。
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
作者信息
Lekadir Karim, Frangi Alejandro F, Porras Antonio R, Glocker Ben, Cintas Celia, Langlotz Curtis P, Weicken Eva, Asselbergs Folkert W, Prior Fred, Collins Gary S, Kaissis Georgios, Tsakou Gianna, Buvat Irène, Kalpathy-Cramer Jayashree, Mongan John, Schnabel Julia A, Kushibar Kaisar, Riklund Katrine, Marias Kostas, Amugongo Lameck M, Fromont Lauren A, Maier-Hein Lena, Cerdá-Alberich Leonor, Martí-Bonmatí Luis, Cardoso M Jorge, Bobowicz Maciej, Shabani Mahsa, Tsiknakis Manolis, Zuluaga Maria A, Fritzsche Marie-Christine, Camacho Marina, Linguraru Marius George, Wenzel Markus, De Bruijne Marleen, Tolsgaard Martin G, Goisauf Melanie, Cano Abadía Mónica, Papanikolaou Nikolaos, Lazrak Noussair, Pujol Oriol, Osuala Richard, Napel Sandy, Colantonio Sara, Joshi Smriti, Klein Stefan, Aussó Susanna, Rogers Wendy A, Salahuddin Zohaib, Starmans Martijn P A
机构信息
Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain.
Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
出版信息
BMJ. 2025 Feb 5;388:e081554. doi: 10.1136/bmj-2024-081554.
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI framework, which provides guidance for the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI Consortium was founded in 2021 and comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two year period, the FUTURE-AI guideline was established through consensus based on six guiding principles—fairness, universality, traceability, usability, robustness, and explainability. To operationalise trustworthy AI in healthcare, a set of 30 best practices were defined, addressing technical, clinical, socioethical, and legal dimensions. The recommendations cover the entire lifecycle of healthcare AI, from design, development, and validation to regulation, deployment, and monitoring.
尽管人工智能（AI）在医疗保健研究方面取得了重大进展，但AI技术在临床实践中的部署和应用仍然有限。本文介绍了FUTURE-AI框架，该框架为医疗保健领域中值得信赖的AI工具的开发和部署提供指导。FUTURE-AI联盟成立于2021年，由来自50个国家的117名跨学科专家组成，代表了所有大洲，包括AI科学家、临床研究人员、生物医学伦理学家和社会科学家。在两年的时间里，FUTURE-AI指南基于公平性、普遍性、可追溯性、可用性、稳健性和可解释性这六项指导原则，通过共识建立。为了在医疗保健中实现值得信赖的AI，定义了一套30条最佳实践，涉及技术、临床、社会伦理和法律层面。这些建议涵盖了医疗保健AI的整个生命周期，从设计、开发和验证到监管、部署和监测。
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