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Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter

ObjectiveAlthough the role of artificial intelligence (AI) in medicine is increasingly studied, most patients do not benefit because the majority of AI models remain in the testing and prototyping environment. The development and implementation trajectory of clinical AI models are complex and a stru...

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Bibliographic Details
Published in:BMJ health & care informatics 2022-02, Vol.29 (1), p.e100495
Main Authors: van de Sande, Davy, Van Genderen, Michel E, Smit, Jim M., Huiskens, Joost, Visser, Jacob J., Veen, Robert E. R., van Unen, Edwin, BA, Oliver Hilgers, Gommers, Diederik, Bommel, Jasper van
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Language:English
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Summary:ObjectiveAlthough the role of artificial intelligence (AI) in medicine is increasingly studied, most patients do not benefit because the majority of AI models remain in the testing and prototyping environment. The development and implementation trajectory of clinical AI models are complex and a structured overview is missing. We therefore propose a step-by-step overview to enhance clinicians’ understanding and to promote quality of medical AI research.MethodsWe summarised key elements (such as current guidelines, challenges, regulatory documents and good practices) that are needed to develop and safely implement AI in medicine.ConclusionThis overview complements other frameworks in a way that it is accessible to stakeholders without prior AI knowledge and as such provides a step-by-step approach incorporating all the key elements and current guidelines that are essential for implementation, and can thereby help to move AI from bytes to bedside.
ISSN:2632-1009
2632-1009
DOI:10.1136/bmjhci-2021-100495