Reporting guidelines for artificial intelligence in healthcare research
Ibrahim, Hussein Liu, Xiaoxuan Denniston, Alastair K
Ibrahim, Hussein
Liu, Xiaoxuan
Denniston, Alastair K
Abstract
Reporting guidelines are structured tools developed using explicit methodology that specify the minimum information required by researchers when reporting a study. The use of artificial intelligence (AI) reporting guidelines that address potential sources of bias specific to studies involving AI interventions has the potential to improve the quality of AI studies, through improvements in their design and delivery, and the completeness and transparency of their reporting. With a number of guidance documents relating to AI studies emerging from different specialist societies, this Review article provides researchers with some key principles for selecting the most appropriate reporting guidelines for a study involving an AI intervention. As the main determinants of a high-quality study are contained within the methodology of the study design rather than the intervention, researchers are recommended to use reporting guidelines that are specific to the study design, and then supplement them with AI-specific guidance contained within available AI reporting guidelines.
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Date
2021-05-25
Type
Article
Subject
Health services. Management, Practice of medicine
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Citation
Ibrahim H, Liu X, Denniston AK. Reporting guidelines for artificial intelligence in healthcare research. Clin Exp Ophthalmol. 2021 Jul;49(5):470-476. doi: 10.1111/ceo.13943. Epub 2021 May 25.
Journal / Source Title
Clinical & Experimental Ophthalmology
DOI
10.1111/ceo.13943
PMID
33956386
Publisher
Wiley-Blackwell
Publisher’s URL
https://onlinelibrary.wiley.com/journal/14429071