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Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
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 intervent...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490784/ https://www.ncbi.nlm.nih.gov/pubmed/32909959 http://dx.doi.org/10.1136/bmj.m3164 |
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author | Liu, Xiaoxuan Rivera, Samantha Cruz Moher, David Calvert, Melanie J Denniston, Alastair K Ashrafian, Hutan Beam, Andrew L Chan, An-Wen Collins, Gary S Darzi, Ara Deeks, Jonathan J ElZarrad, M Khair Espinoza, Cyrus Esteva, Andre Faes, Livia Ferrante di Ruffano, Lavinia Fletcher, John Golub, Robert Harvey, Hugh Haug, Charlotte Holmes, Christopher Jonas, Adrian Keane, Pearse A Kelly, Christopher J Lee, Aaron Y Lee, Cecilia S Manna, Elaine Matcham, James McCradden, Melissa Monteiro, Joao Mulrow, Cynthia Oakden-Rayner, Luke Paltoo, Dina Panico, Maria Beatrice Price, Gary Rowley, Samuel Savage, Richard Sarkar, Rupa Vollmer, Sebastian J Yau, Christopher |
author_facet | Liu, Xiaoxuan Rivera, Samantha Cruz Moher, David Calvert, Melanie J Denniston, Alastair K Ashrafian, Hutan Beam, Andrew L Chan, An-Wen Collins, Gary S Darzi, Ara Deeks, Jonathan J ElZarrad, M Khair Espinoza, Cyrus Esteva, Andre Faes, Livia Ferrante di Ruffano, Lavinia Fletcher, John Golub, Robert Harvey, Hugh Haug, Charlotte Holmes, Christopher Jonas, Adrian Keane, Pearse A Kelly, Christopher J Lee, Aaron Y Lee, Cecilia S Manna, Elaine Matcham, James McCradden, Melissa Monteiro, Joao Mulrow, Cynthia Oakden-Rayner, Luke Paltoo, Dina Panico, Maria Beatrice Price, Gary Rowley, Samuel Savage, Richard Sarkar, Rupa Vollmer, Sebastian J Yau, Christopher |
author_sort | Liu, Xiaoxuan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7490784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74907842020-09-24 Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension Liu, Xiaoxuan Rivera, Samantha Cruz Moher, David Calvert, Melanie J Denniston, Alastair K Ashrafian, Hutan Beam, Andrew L Chan, An-Wen Collins, Gary S Darzi, Ara Deeks, Jonathan J ElZarrad, M Khair Espinoza, Cyrus Esteva, Andre Faes, Livia Ferrante di Ruffano, Lavinia Fletcher, John Golub, Robert Harvey, Hugh Haug, Charlotte Holmes, Christopher Jonas, Adrian Keane, Pearse A Kelly, Christopher J Lee, Aaron Y Lee, Cecilia S Manna, Elaine Matcham, James McCradden, Melissa Monteiro, Joao Mulrow, Cynthia Oakden-Rayner, Luke Paltoo, Dina Panico, Maria Beatrice Price, Gary Rowley, Samuel Savage, Richard Sarkar, Rupa Vollmer, Sebastian J Yau, Christopher BMJ Research Methods & Reporting 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. BMJ Publishing Group Ltd. 2020-09-09 /pmc/articles/PMC7490784/ /pubmed/32909959 http://dx.doi.org/10.1136/bmj.m3164 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Methods & Reporting Liu, Xiaoxuan Rivera, Samantha Cruz Moher, David Calvert, Melanie J Denniston, Alastair K Ashrafian, Hutan Beam, Andrew L Chan, An-Wen Collins, Gary S Darzi, Ara Deeks, Jonathan J ElZarrad, M Khair Espinoza, Cyrus Esteva, Andre Faes, Livia Ferrante di Ruffano, Lavinia Fletcher, John Golub, Robert Harvey, Hugh Haug, Charlotte Holmes, Christopher Jonas, Adrian Keane, Pearse A Kelly, Christopher J Lee, Aaron Y Lee, Cecilia S Manna, Elaine Matcham, James McCradden, Melissa Monteiro, Joao Mulrow, Cynthia Oakden-Rayner, Luke Paltoo, Dina Panico, Maria Beatrice Price, Gary Rowley, Samuel Savage, Richard Sarkar, Rupa Vollmer, Sebastian J Yau, Christopher Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension |
title | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension |
title_full | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension |
title_fullStr | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension |
title_full_unstemmed | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension |
title_short | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension |
title_sort | reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the consort-ai extension |
topic | Research Methods & Reporting |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490784/ https://www.ncbi.nlm.nih.gov/pubmed/32909959 http://dx.doi.org/10.1136/bmj.m3164 |
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