Journal Article

DKFZ-2025-00300

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

Lekadir, K. ; Frangi, A. F. ; Porras, A. R. ; Glocker, B. ; Cintas, C. ; Langlotz, C. P. ; Weicken, E. ; Asselbergs, F. W. ; Prior, F. ; Collins, G. S. ; Kaissis, G. ; Tsakou, G. ; Buvat, I. ; Kalpathy-Cramer, J. ; Mongan, J. ; Schnabel, J. A. ; Kushibar, K. ; Riklund, K. ; Marias, K. ; Amugongo, L. M. ; Fromont, L. A. ; Maier-Hein, L.DKFZ* ; Cerdá-Alberich, L. ; Martí-Bonmatí, L. ; Cardoso, M. J. ; Bobowicz, M. ; Shabani, M. ; Tsiknakis, M. ; Zuluaga, M. A. ; Fritzsche, M.-C. ; Camacho, M. ; Linguraru, M. G. ; Wenzel, M. ; De Bruijne, M. ; Tolsgaard, M. G. ; Goisauf, M. ; Cano Abadía, M. ; Papanikolaou, N. ; Lazrak, N. ; Pujol, O. ; Osuala, R. ; Napel, S. ; Colantonio, S. ; Joshi, S. ; Klein, S. ; Aussó, S. ; Rogers, W. A. ; Salahuddin, Z. ; Starmans, M. P. A. ; Consortium, F.-A. (Collaboration Author) ; Feragen, A. (Contributor) ; Fofanah, A. J. (Contributor) ; Buyx, A. (Contributor) ; Emelie, A. (Contributor) ; Lara, A. (Contributor) ; Chan, A.-W. (Contributor) ; Navarro, A. (Contributor) ; Botwe, B. O. (Contributor) ; Khanal, B. (Contributor) ; Beger, B. (Contributor) ; Wu, C. C. (Contributor) ; Rueckert, D. (Contributor) ; Mzurikwao, D. (Contributor) ; Fotiadis, D. I. (Contributor) ; Zhussupov, D. (Contributor) ; Ferrante, E. (Contributor) ; Meijering, E. (Contributor) ; González, F. A. (Contributor) ; Krestin, G. P. (Contributor) ; Tegenaw, G. S. (Contributor) ; Misuraca, G. (Contributor) ; Dwivedi, G. (Contributor) ; Kondylakis, H. (Contributor) ; Jayakody, H. (Contributor) ; Woodruf, H. C. (Contributor) ; Mayer, H. J. (Contributor) ; Aerts, H. J. (Contributor) ; Walsh, I. (Contributor) ; Chouvarda, I. (Contributor) ; Tributsch, I. (Contributor) ; Rekik, I. (Contributor) ; Duncan, J. (Contributor) ; Zahir, J. (Contributor) ; Park, J. (Contributor) ; Gichoya, J. W. (Contributor) ; Mori, K. (Contributor) ; Rittner, L. (Contributor) ; Phiri, L. (Contributor) ; Marrakchi-Kacem, L. (Contributor) ; Donoso-Bach, L. (Contributor) ; Bielikova, M. (Contributor) ; Ghassemi, M. (Contributor) ; Ashrafuzzaman, M. (Contributor) ; Yaqub, M. (Contributor) ; Mahmoud, M. M. E. (Contributor) ; Elattar, M. (Contributor) ; Rieke, N. (Contributor) ; Díaz, O. (Contributor) ; Salvado, O. (Contributor) ; Sall, O. (Contributor) ; Guevara, P. (Contributor) ; Gordebeke, P. (Contributor) ; Lambin, P. (Contributor) ; Brown, P. (Contributor) ; Abolmaesumi, P. (Contributor) ; Dou, Q. (Contributor) ; Lu, Q. (Contributor) ; Nakasi, R. (Contributor) ; Zhou, S. K. (Contributor) ; Albarqouni, S. (Contributor) ; Carter, S. (Contributor) ; Petersen, S. E. (Contributor) ; Awate, S. (Contributor) ; Riklin Raviv, T. (Contributor) ; Cook, T. (Contributor) ; Mutsvangwa, T. E. M. (Contributor) ; Niessen, W. J. (Contributor) ; Puig-Bosch, X. (Contributor) ; Zeng, Y. (Contributor) ; Mohammed, Y. G. (Contributor) ; Aquino, Y. S. J. (Contributor)

2025
BMJ Publ. Group London

This record in other databases:  

Please use a persistent id in citations: doi:10.1136/bmj-2024-081554

Abstract: 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.

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Contributing Institute(s):

1. E130 Intelligente Medizinische Systeme (E130)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2025

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; National-Konsortium ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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