AIMC Topic: Anesthesiology

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Machine learning in anesthesiology: Detecting adverse events in clinical practice.

Health informatics journal
The credibility of threshold-based alarms in anesthesia monitors is low and most of the warnings they produce are not informative. This study aims to show that Machine Learning techniques have a potential to generate meaningful alarms during general ...

Using Machine Learning to Evaluate Attending Feedback on Resident Performance.

Anesthesia and analgesia
BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...

[Application of Machine Learning Algorithm in Anesthesia].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
The application of artificial intelligence in medical field is promoting medical innovations.Specifically,machine learning algorithm promotes the development of anesthesiology.This review elucidates the basic concept,research advances,application,and...

[Machine learning in anesthesiology].

Der Anaesthesist
The application of artificial intelligence (AI) is currently changing very different areas of life. Artificial intelligence involves the emulation of human behavior with the aid of methods from mathematics and informatics. Machine learning (ML) repre...

Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.

Anesthesiology
Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial intelligence ...