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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 ...

Artificial intelligence and "the Art of Kintsugi" in Anesthesiology: ten influential papers for clinical users.

Minerva anestesiologica
Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the present review we chose ten influential papers from the last five years and through Kintsugi, ...

Bilateral subgaleal hematoma after a robot-assisted radical prostatectomy: an uncommon complication.

Anales del sistema sanitario de Navarra
Robot-assisted radical prostatectomy is a relatively recent technique. Its advantages include less invasiveness and better pain management, but has specific anesthesia requirements, such as steep Trendelenburg position and pneumoperitoneum. Mild comp...

Artificial intelligence and its clinical application in Anesthesiology: a systematic review.

Journal of clinical monitoring and computing
PURPOSE: Application of artificial intelligence (AI) in medicine is quickly expanding. Despite the amount of evidence and promising results, a thorough overview of the current state of AI in clinical practice of anesthesiology is needed. Therefore, o...

Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.

Anesthesia and analgesia
BACKGROUND: The American Society of Anesthesiologists Physical Status Classification System (ASA-PS) is used to classify patients' health before delivering an anesthetic. Assigning an ASA-PS Classification score to pediatric patients can be challengi...