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...
Үндсэн зохиолчид: | 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 |
---|---|
Бусад зохиолчид: | DECIDE-AI expert group |
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
BMJ Publishing Group
2022
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
-н: Vasey, B, зэрэг
Хэвлэсэн: (2021) -
Association of clinician diagnostic performance with machine learning-based decision support systems: a systematic review
-н: Vasey, B, зэрэг
Хэвлэсэн: (2021) -
Explaining decisions without explainability? Artificial intelligence and medicolegal accountability
-н: Melissa D. McCradden, зэрэг
Хэвлэсэн: (2024-09-01) -
Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research
-н: Melissa D McCradden, зэрэг
Хэвлэсэн: (2020-10-01) -
The silent trial - the bridge between bench-to-bedside clinical AI applications
-н: Jethro C. C. Kwong, зэрэг
Хэвлэсэн: (2022-08-01)