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Anesthesiology

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[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...

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...

Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning.

IEEE transactions on biomedical circuits and systems
Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side effects. We propose the first piece of technology tailored explicitly to close the loop between anae...

Machine Learning, Deep Learning, and Closed Loop Devices-Anesthesia Delivery.

Anesthesiology clinics
With the tremendous volume of data captured during surgeries and procedures, critical care, and pain management, the field of anesthesiology is uniquely suited for the application of machine learning, neural networks, and closed loop technologies. In...

Deep learning for anatomical interpretation of video bronchoscopy images.

Scientific reports
Anesthesiologists commonly use video bronchoscopy to facilitate intubation or confirm the location of the endotracheal tube; however, depth and orientation in the bronchial tree can often be confused because anesthesiologists cannot trace the airway ...