English

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

Computers and Society 2024-07-09 v3 Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning

Abstract

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 validation to regulation, deployment, and monitoring. FUTURE-AI is a risk-informed, assumption-free guideline which provides a structured approach for constructing medical AI tools that will be trusted, deployed and adopted in real-world practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of medical AI.

Keywords

Cite

@article{arxiv.2309.12325,
  title  = {FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare},
  author = {Karim Lekadir and Aasa Feragen and Abdul Joseph Fofanah and Alejandro F Frangi and Alena Buyx and Anais Emelie and Andrea Lara and Antonio R Porras and An-Wen Chan and Arcadi Navarro and Ben Glocker and Benard O Botwe and Bishesh Khanal and Brigit Beger and Carol C Wu and Celia Cintas and Curtis P Langlotz and Daniel Rueckert and Deogratias Mzurikwao and Dimitrios I Fotiadis and Doszhan Zhussupov and Enzo Ferrante and Erik Meijering and Eva Weicken and Fabio A González and Folkert W Asselbergs and Fred Prior and Gabriel P Krestin and Gary Collins and Geletaw S Tegenaw and Georgios Kaissis and Gianluca Misuraca and Gianna Tsakou and Girish Dwivedi and Haridimos Kondylakis and Harsha Jayakody and Henry C Woodruf and Horst Joachim Mayer and Hugo JWL Aerts and Ian Walsh and Ioanna Chouvarda and Irène Buvat and Isabell Tributsch and Islem Rekik and James Duncan and Jayashree Kalpathy-Cramer and Jihad Zahir and Jinah Park and John Mongan and Judy W Gichoya and Julia A Schnabel and Kaisar Kushibar and Katrine Riklund and Kensaku Mori and Kostas Marias and Lameck M Amugongo and Lauren A Fromont and Lena Maier-Hein and Leonor Cerdá Alberich and Leticia Rittner and Lighton Phiri and Linda Marrakchi-Kacem and Lluís Donoso-Bach and Luis Martí-Bonmatí and M Jorge Cardoso and Maciej Bobowicz and Mahsa Shabani and Manolis Tsiknakis and Maria A Zuluaga and Maria Bielikova and Marie-Christine Fritzsche and Marina Camacho and Marius George Linguraru and Markus Wenzel and Marleen De Bruijne and Martin G Tolsgaard and Marzyeh Ghassemi and Md Ashrafuzzaman and Melanie Goisauf and Mohammad Yaqub and Mónica Cano Abadía and Mukhtar M E Mahmoud and Mustafa Elattar and Nicola Rieke and Nikolaos Papanikolaou and Noussair Lazrak and Oliver Díaz and Olivier Salvado and Oriol Pujol and Ousmane Sall and Pamela Guevara and Peter Gordebeke and Philippe Lambin and Pieta Brown and Purang Abolmaesumi and Qi Dou and Qinghua Lu and Richard Osuala and Rose Nakasi and S Kevin Zhou and Sandy Napel and Sara Colantonio and Shadi Albarqouni and Smriti Joshi and Stacy Carter and Stefan Klein and Steffen E Petersen and Susanna Aussó and Suyash Awate and Tammy Riklin Raviv and Tessa Cook and Tinashe E M Mutsvangwa and Wendy A Rogers and Wiro J Niessen and Xènia Puig-Bosch and Yi Zeng and Yunusa G Mohammed and Yves Saint James Aquino and Zohaib Salahuddin and Martijn P A Starmans},
  journal= {arXiv preprint arXiv:2309.12325},
  year   = {2024}
}