Accessing Artificial Intelligence for Clinical Decision-Making is a research paper published in Frontiers in Digital Health (2021). On theSindex it has a DataRank of 0. It has been cited 308 times.
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National Institutes of Health
Grant: 5R21EB027344-02
Autonomous Pain Recognition in Non-Verbal and Critically Ill Patients
National Institutes of Health
Grant: 5R01GM114290-05
Finding Good TEMporal PostOperative pain Signatures (TEMPOS)
National Science Foundation
Grant: 1750192
CAREER: Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future
National Institutes of Health
Grant: 5R01AG055337-05
PRECEDE: PREsurgical Cognitive Evaluation via Digital clockfacEdrawing
FWCI
22.79
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence
Additional file 1 of Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence
Additional file 1 of Advancing polytrauma care: developing and validating machine learning models for early mortality prediction
Additional file 1 of Advancing polytrauma care: developing and validating machine learning models for early mortality prediction