TY - JOUR
T1 - Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
AU - Martindale, Alexander P. L.
AU - Ng, Benjamin
AU - Ngai, Victoria
AU - Kale, Aditya U.
AU - Ferrante di Ruffano, Lavinia
AU - Golub, Robert M.
AU - Collins, Gary S.
AU - Moher, David
AU - McCradden, Melissa D.
AU - Oakden-Rayner, Lauren
AU - Rivera, Samantha Cruz
AU - Calvert, Melanie
AU - Kelly, Christopher J.
AU - Lee, Cecilia S.
AU - Yau, Christopher
AU - Chan, An-Wen
AU - Keane, Pearse A.
AU - Beam, Andrew L.
AU - Denniston, Alastair K.
AU - Liu, Xiaoxuan
PY - 2024/2/22
Y1 - 2024/2/22
N2 - The Consolidated Standards of Reporting Trials extension for Artificial Intelligence interventions (CONSORT-AI) was published in September 2020. Since its publication, several randomised controlled trials (RCTs) of AI interventions have been published but their completeness and transparency of reporting is unknown. This systematic review assesses the completeness of reporting of AI RCTs following publication of CONSORT-AI and provides a comprehensive summary of RCTs published in recent years. 65 RCTs were identified, mostly conducted in China (37%) and USA (18%). Median concordance with CONSORT-AI reporting was 90% (IQR 77–94%), although only 10 RCTs explicitly reported its use. Several items were consistently under-reported, including algorithm version, accessibility of the AI intervention or code, and references to a study protocol. Only 3 of 52 included journals explicitly endorsed or mandated CONSORT-AI. Despite a generally high concordance amongst recent AI RCTs, some AI-specific considerations remain systematically poorly reported. Further encouragement of CONSORT-AI adoption by journals and funders may enable more complete adoption of the full CONSORT-AI guidelines.
AB - The Consolidated Standards of Reporting Trials extension for Artificial Intelligence interventions (CONSORT-AI) was published in September 2020. Since its publication, several randomised controlled trials (RCTs) of AI interventions have been published but their completeness and transparency of reporting is unknown. This systematic review assesses the completeness of reporting of AI RCTs following publication of CONSORT-AI and provides a comprehensive summary of RCTs published in recent years. 65 RCTs were identified, mostly conducted in China (37%) and USA (18%). Median concordance with CONSORT-AI reporting was 90% (IQR 77–94%), although only 10 RCTs explicitly reported its use. Several items were consistently under-reported, including algorithm version, accessibility of the AI intervention or code, and references to a study protocol. Only 3 of 52 included journals explicitly endorsed or mandated CONSORT-AI. Despite a generally high concordance amongst recent AI RCTs, some AI-specific considerations remain systematically poorly reported. Further encouragement of CONSORT-AI adoption by journals and funders may enable more complete adoption of the full CONSORT-AI guidelines.
U2 - 10.1038/s41467-024-45355-3
DO - 10.1038/s41467-024-45355-3
M3 - Article
C2 - 38388497
SN - 2041-1723
VL - 15
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 1619
ER -