TY - JOUR
T1 - Reporting guidelines for clinical trial reports for interventions involving artificial intelligence
T2 - The CONSORT-AI Extension
AU - Liu, Xiaoxuan
AU - Rivera, Samantha Cruz
AU - Moher, David
AU - Calvert, Melanie J.
AU - Denniston, Alastair K.
AU - The SPIRIT-AI and CONSORT-AI Working Group
AU - Vaillant, Michel
N1 - Funding Information:
Funding: This work was funded by a Wellcome Trust Institutional Strategic Support Fund: Digital Health Pilot Grant, Research England (part of UK Research and Innovation), Health Data Research UK and the Alan Turing Institute. The study was sponsored by the University of Birmingham, UK. The study funders and sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.
Funding Information:
Additional contributions: Eliot Marston (University of Birmingham, Birmingham, UK) for providing strategic support. Charlotte Radovanovic (University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK) and Anita Walker (University of Birmingham, Birmingham, UK) for administrative support. Contributors: Concept and design: all authors. Acquisition, analysis, and interpretation of data: all authors. Drafting of the manuscript: XL, SCR, AWC, DM, MJC, and AKD. Obtained funding: AKD, MJC, CY, and CH. The SPIRIT-AI and CONSORT-AI Working Group gratefully acknowledge the contributions of the participants of the Delphi study and for providing feedback through final piloting of the checklist. Support: MJC is a National Institute for Health Research (NIHR) Senior Investigator and receives funding from the NIHR Birmingham Biomedical Research Centre, the NIHR Surgical Reconstruction and Microbiology Research Centre and NIHR ARC West Midlands at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Health Data Research UK, Innovate UK (part of UK Research and Innovation), the Health Foundation, Macmillan Cancer Support, UCB Pharma. MK ElZarrad is supported by the US Food and Drug Administration (FDA). D Paltoo is supported in part by the Office of the Director at the National Library of Medicine (NLM), National Institutes of Health (NIH). MJC, AD, and JJD are NIHR Senior Investigators. The views expressed in this article are those of the authors, Delphi participants, and stakeholder participants and may not represent the views of the broader stakeholder group or host institution, NIHR or the Department of Health and Social Care, or the NIH or FDA. DM is supported by a University of Ottawa Research Chair. AL Beam is supported by a National Institutes of Health (NIH) award 7K01HL141771-02. SJV receives funding from the Engineering and Physical Sciences Research Council, UK Research and Innovation (UKRI), Accenture, Warwick Impact Fund, Health Data Research UK and European Regional Development Fund. S Rowley is an employee for the Medical Research Council (UKRI).
Publisher Copyright:
©
PY - 2020/9/9
Y1 - 2020/9/9
N2 - The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency when evaluating new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate impact on health outcomes. The CONSORT-AI extension is a new reporting guideline for clinical trials evaluating interventions with an AI component. It was developed in parallel with its companion statement for clinical trial protocols: SPIRIT-AI. Both guidelines were developed through a staged consensus process, involving a literature review and expert consultation to generate 29 candidate items, which were assessed by an international multi-stakeholder group in a two-stage Delphi survey (103 stakeholders), agreed on in a two-day consensus meeting (31 stakeholders) and refined through a checklist pilot (34 participants). The CONSORT-AI extension includes 14 new items, which were considered sufficiently important for AI interventions, that they should be routinely reported in addition to the core CONSORT 2010 items. CONSORT-AI recommends that investigators provide clear descriptions of the AI intervention, including instructions and skills required for use, the setting in which the AI intervention is integrated, the handling of inputs and outputs of the AI intervention, the human-AI interaction and providing analysis of error cases. CONSORT-AI will help promote transparency and completeness in reporting clinical trials for AI interventions. It will assist editors and peer-reviewers, as well as the general readership, to understand, interpret and critically appraise the quality of clinical trial design and risk of bias in the reported outcomes.
AB - The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency when evaluating new interventions. More recently, there has been a growing recognition that interventions involving artificial intelligence (AI) need to undergo rigorous, prospective evaluation to demonstrate impact on health outcomes. The CONSORT-AI extension is a new reporting guideline for clinical trials evaluating interventions with an AI component. It was developed in parallel with its companion statement for clinical trial protocols: SPIRIT-AI. Both guidelines were developed through a staged consensus process, involving a literature review and expert consultation to generate 29 candidate items, which were assessed by an international multi-stakeholder group in a two-stage Delphi survey (103 stakeholders), agreed on in a two-day consensus meeting (31 stakeholders) and refined through a checklist pilot (34 participants). The CONSORT-AI extension includes 14 new items, which were considered sufficiently important for AI interventions, that they should be routinely reported in addition to the core CONSORT 2010 items. CONSORT-AI recommends that investigators provide clear descriptions of the AI intervention, including instructions and skills required for use, the setting in which the AI intervention is integrated, the handling of inputs and outputs of the AI intervention, the human-AI interaction and providing analysis of error cases. CONSORT-AI will help promote transparency and completeness in reporting clinical trials for AI interventions. It will assist editors and peer-reviewers, as well as the general readership, to understand, interpret and critically appraise the quality of clinical trial design and risk of bias in the reported outcomes.
UR - http://www.scopus.com/inward/record.url?scp=85090820711&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/32909959
U2 - 10.1136/bmj.m3164
DO - 10.1136/bmj.m3164
M3 - Comment/debate
C2 - 32909959
AN - SCOPUS:85090820711
SN - 0959-8146
VL - 370
JO - The BMJ
JF - The BMJ
M1 - m3164
ER -