Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico, evaluation, but few have yet demonstrated real benefit to patient care. Early stage clinical evaluation is important to assess an AI system’s actual c...
Главные авторы: | Vasey, B, Nagendran, M, Campbell, B, Clifton, DA, Collins, GS, Denaxas, S, Denniston, AK, Faes, L, Geerts, B, Ibrahim, M, Liu, X, Mateen, BA, Mathur, P, McCradden, MD, Morgan, L, Ordish, J, Rogers, C, Saria, S, Ting, DSW, Watkinson, P, Weber, W, Wheatstone, P, McCulloch, P |
---|---|
Другие авторы: | DECIDE-AI expert group |
Формат: | Journal article |
Язык: | English |
Опубликовано: |
BMJ Publishing Group
2022
|
Схожие документы
-
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
по: Vasey, B, и др.
Опубликовано: (2021) -
When is accuracy off-target?
по: Melissa D. McCradden
Опубликовано: (2021-06-01) -
Association of clinician diagnostic performance with machine learning-based decision support systems: a systematic review
по: Vasey, B, и др.
Опубликовано: (2021) -
Concussions in Sledding Sports and the Unrecognized “Sled Head”: A Systematic Review
по: Melissa D. McCradden, и др.
Опубликовано: (2018-09-01) -
Explaining decisions without explainability? Artificial intelligence and medicolegal accountability
по: Melissa D. McCradden, и др.
Опубликовано: (2024-09-01)