Reporting guidelines for artificial intelligence in healthcare research.

Ibrahim, Hussein, Liu, Xiaoxuan and Denniston, Alastair K (2021) Reporting guidelines for artificial intelligence in healthcare research. Clinical & experimental ophthalmology. ISSN 1442-9071.

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Official URL: http://onlinelibrary.wiley.com/journal/10.1111/(IS...

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 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. This article is protected by copyright. All rights reserved.

Item Type: Article
Subjects: QA Mathematics. Computing
WW Eyes. Ophthalmology
Divisions: Ambulatory Care > Ophthalmology
Related URLs:
Depositing User: Miss Emily Johnson
Date Deposited: 10 May 2021 13:09
Last Modified: 10 May 2021 13:09
URI: http://www.repository.uhblibrary.co.uk/id/eprint/4292

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