By Baptiste Vasey
“Developing new reporting guidelines for the early-stage clinical evaluation of decision support systems driven by artificial intelligence.”
Much like IDEAL 2a/2b studies, comprehensive early formative evaluation, with an emphasis on the human users, is a necessary bridge from the development of clinical decision support systems driven by artificial intelligence (AI) to their clinical implementation. Early-stage studies are also important steppingstones toward the large-scale comparative trials needed to generate robust evidence about these systems’ effectiveness. The objective of DECIDE-AI is to improve reporting of clinical AI studies along four main axes:
An international, multi stakeholder Delphi process is currently being conducted and the guidelines are expected for late 2021/early 2022.
You can read more about the project in a correspondence to the editors of Nature Medicine: https://www.nature.com/articles/s41591-021-01229-5
Link to the systematic review performed as part of the preliminary investigations: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2777403
Contact: Baptiste Vasey, firstname.lastname@example.org