Reporting guidelines for artificial intelligence in healthcare research

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Reporting guidelines for artificial intelligence in healthcare research. / Ibrahim, Hussein; Liu, Xiaoxuan; Denniston, Alastair K.

In: Clinical and Experimental Ophthalmology, Vol. 49, No. 5, 07.2021, p. 470-476.

Research output: Contribution to journalReview articlepeer-review

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@article{cf79cb6234a3455d94288bedbf768c22,
title = "Reporting guidelines for artificial intelligence in healthcare research",
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.",
keywords = "artificial intelligence, checklist, guidelines, machine learning, research design, research report",
author = "Hussein Ibrahim and Xiaoxuan Liu and Denniston, {Alastair K}",
note = "{\textcopyright} 2021 The Authors. Clinical & Experimental Ophthalmology published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Ophthalmologists.",
year = "2021",
month = jul,
doi = "10.1111/ceo.13943",
language = "English",
volume = "49",
pages = "470--476",
journal = "Clinical and Experimental Ophthalmology",
issn = "1442-6404",
publisher = "Wiley",
number = "5",

}

RIS

TY - JOUR

T1 - Reporting guidelines for artificial intelligence in healthcare research

AU - Ibrahim, Hussein

AU - Liu, Xiaoxuan

AU - Denniston, Alastair K

N1 - © 2021 The Authors. Clinical & Experimental Ophthalmology published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Ophthalmologists.

PY - 2021/7

Y1 - 2021/7

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - checklist

KW - guidelines

KW - machine learning

KW - research design

KW - research report

U2 - 10.1111/ceo.13943

DO - 10.1111/ceo.13943

M3 - Review article

C2 - 33956386

VL - 49

SP - 470

EP - 476

JO - Clinical and Experimental Ophthalmology

JF - Clinical and Experimental Ophthalmology

SN - 1442-6404

IS - 5

ER -