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...
Автори: | 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 |
---|---|
Інші автори: | DECIDE-AI expert group |
Формат: | Journal article |
Мова: | English |
Опубліковано: |
BMJ Publishing Group
2022
|
Схожі ресурси
Схожі ресурси
-
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
за авторством: Vasey, B, та інші
Опубліковано: (2021) -
When is accuracy off-target?
за авторством: Melissa D. McCradden
Опубліковано: (2021-06-01) -
Association of clinician diagnostic performance with machine learning-based decision support systems: a systematic review
за авторством: Vasey, B, та інші
Опубліковано: (2021) -
Explaining decisions without explainability? Artificial intelligence and medicolegal accountability
за авторством: Melissa D. McCradden, та інші
Опубліковано: (2024-09-01) -
Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research
за авторством: Melissa D McCradden, та інші
Опубліковано: (2020-10-01)