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- Title
Machine Learning in Emergency Medicine: Keys to Future Success.
- Authors
Taylor, R. Andrew; Haimovich, Adrian D.; Kline, Jeffrey A.
- Abstract
In the article, the authors discuss the use and keys to future success of machine learning (ML) in emergency medicine. Also cited are some flaws of ML like lack of interventional trial assessments and limited reporting guidelines adherence, as well as the need for a new phase in clinical decision support (CDS) for emergency care and standards for algorithmic stewardship.
- Subjects
ALGORITHMS; ARTIFICIAL intelligence; DECISION support systems; EMERGENCY medicine; HOSPITAL emergency services; INFORMATION storage &; retrieval systems; MEDICAL databases; MACHINE learning; MEDICAL quality control; SUCCESS
- Publication
Academic Emergency Medicine, 2021, Vol 28, Issue 2, p263
- ISSN
1069-6563
- Publication type
Article
- DOI
10.1111/acem.14189