Loading...
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
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.
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.
Author
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, Irene
Kalpathy-Cramer, Jayashree
Mongan, John
Schnabel, Julia A.
Kushibar, Kaisar
Riklund, Katrine
Marias, Kostas
Amugongo, Lameck M.
Fromont, Lauren A.
Maier-Hein, Lena
Cerd�-Alberich, Leonor
Mart�-Bonmat�, 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 Abadia, Monica
Papanikolaou, Nikolaos
Lazrak, Noussair
Pujol, Oriol
Osuala, Richard
Napel, Sandy
Colantonio, Sara
Joshi, Smriti
Klein, Stefan
Ausso, Susanna
Rogers, Wendy A.
Salahuddin, Zohaib
Starmans, Martijn P. A.
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, Irene
Kalpathy-Cramer, Jayashree
Mongan, John
Schnabel, Julia A.
Kushibar, Kaisar
Riklund, Katrine
Marias, Kostas
Amugongo, Lameck M.
Fromont, Lauren A.
Maier-Hein, Lena
Cerd�-Alberich, Leonor
Mart�-Bonmat�, 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 Abadia, Monica
Papanikolaou, Nikolaos
Lazrak, Noussair
Pujol, Oriol
Osuala, Richard
Napel, Sandy
Colantonio, Sara
Joshi, Smriti
Klein, Stefan
Ausso, Susanna
Rogers, Wendy A.
Salahuddin, Zohaib
Starmans, Martijn P. A.
Supervisor
Department
Computer Vision
Embargo End Date
Type
Journal article
Date
2025
License
Language
English
Collections
Research Projects
Organizational Units
Journal Issue
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.
Citation
K. Lekadir et al., “FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare,” BMJ, vol. 388, Feb. 2025, doi: 10.1136/BMJ-2024-081554.
Source
BMJ
Conference
Keywords
FUTURE-AI framework, Trustworthy artificial intelligence, Healthcare AI deployment, International consensus guidelines, AI ethics
Subjects
Source
Publisher
BMJ Publishing Group