AIMC Topic: Anesthesiologists
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Explainable machine-learning predictions for the prevention of hypoxaemia during surgery.
Nature biomedical engineering
Oct 10, 2018
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time dur...
Understanding New Machine Learning Architectures: Practical Generative Artificial Intelligence for Anesthesiologists.
Anesthesiology
Mar 1, 2024
Recent advances in neural networks have given rise to generative artificial intelligence, systems able to produce fluent responses to natural questions or attractive and even photorealistic images from text prompts. These systems were developed throu...
Outpatient Robotic surgery: Considerations for the Anesthesiologist.
Advances in anesthesia
Dec 1, 2022
A shortage of inpatient beds and nurses during the coronavirus disease 2019 pandemic has lent priority to safe same-day discharge after surgery. The minimally invasive nature of robotic surgery has allowed an increasing number of procedures to be don...
Using Machine Learning to Evaluate Attending Feedback on Resident Performance.
Anesthesia and analgesia
Feb 1, 2021
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...
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