FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

作者：Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An‐Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred Prior, Gabriël P. Krestin, Gary Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C Woodruf, Mayer, Horst Joachim, Hugo J.W.L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Tributsch, Isabell, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy Wawira Gichoya, Julia A. Schnabel, Kaisar Kushibar, Katrine Riklund, Kensaku Mori, Kostas Marias, Lameck Mbangula Amugongo, Lauren A. Fromont, Lena Maier‐Hein, L. Cerdá Alberich, Letícia Rittner, Lighton Phiri, Linda Marrakchi‐Kacem, Lluís Donoso-Bach, Luis Martí‐Bonmatí, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, María A. Zuluaga, Mária Bieliková, Marie-Christine Fritzsche, Camacho, Marina, Marius George Linguraru, Markus Wenzel, Marleen de Bruijne, Martin G. Tolsgaard, Marzyeh Ghassemi, Md. Ashrafuzzaman, Melanie Goisauf, Mohammad Yaqub, Mónica Cano Abadía, Mukhtar M. E. Mahmoud, Mustafa Elattar, Nicola Rieke, Nickolas Papanikolaou, Noussair Lazrak, Oliver Díaz, Olivier Salvado, Oriol Pujol, Ousmane Sall, Pamela Guevara, Peter Gordebeke, Philippe Lambin, Pieta Brown, Purang Abolmaesumi, Qi Dou, Qinghua Lu, Richard Osuala, Rose Nakasi, S Kevin Zhou, Sandy Napel, Sara Colantonio, Shadi Albarqouni, Smriti Joshi, Stacy M. Carter, Stefan Klein, Steffen E. Petersen, Susanna Aussó, Suyash Awate, Tammy Riklin Raviv, Tessa S. Cook, Tinashe Mutsvangwa, Wendy Rogers, Wiro J. Niessen, Xénia Puig-Bosch, Yi Zeng, Yunusa Garba Mohammed, Yves Saint James Aquino, Zohaib Salahuddin, Martijn P. A. Starmans · 发表于：arXiv (Cornell University) · 年份：2023 · DOI：10.48550/arxiv.2309.12325 · 被引用次数：39 · 研究领域：Artificial Intelligence in Healthcare and Education、Ethics in Clinical Research、Health Systems, Economic Evaluations, Quality of Life

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technical, clinical, ethical and legal risks associated with medical AI. To increase real world adoption, it is essential that medical AI tools are trusted and accepted by patients, clinicians, health organisations and authorities. This work describes the FUTURE-AI guideline as the first international consensus framework for guiding the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI consortium was founded in 2021 and currently comprises 118 inter-disciplinary experts from 51 countries representing all continents, including AI scientists, clinicians, ethicists, and social scientists. Over a two-year period, the consortium defined guiding principles and best practices for trustworthy AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. The FUTURE-AI framework was established based on 6 guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 28 best practices were defined, addressing technical, clinical, legal and socio-ethical dimensions. The recommendations cover the entire lifecycle of medical AI, from design, development and valid...