Reporting guidelines for artificial intelligence in healthcare research
Ibrahim, Hussein Liu, Xiaoxuan Denniston, Alastair K
Ibrahim, Hussein
Liu, Xiaoxuan
Denniston, Alastair K
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Affiliation
University of Birmingham; University Hospitals Birmingham NHS Foundation Trust; Birmingham Health Partners; Moorfields Eye Hospital NHS Foundation Trust; University College London; Health Data Research UK
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Publication date
2021-05-25
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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.
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.
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Article