AIMC Topic: Anesthesiologists
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Comparison of AI applications and anesthesiologist's anesthesia method choices.
BMC anesthesiology
Jan 3, 2025
BACKGROUND: In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive u...
The anesthesiologist's guide to critically assessing machine learning research: a narrative review.
BMC anesthesiology
Dec 18, 2024
Artificial Intelligence (AI), especially Machine Learning (ML), has developed systems capable of performing tasks that require human intelligence. In anesthesiology and other medical fields, AI applications can improve the precision and efficiency of...
Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial.
British journal of anaesthesia
Sep 10, 2024
BACKGROUND: Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on clinician risk assessment.
Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.
BMC medical ethics
Jul 18, 2024
BACKGROUND: Artificial intelligence (AI) has revolutionized various healthcare domains, where AI algorithms sometimes even outperform human specialists. However, the field of clinical ethics has remained largely untouched by AI advances. This study e...
Gender bias in images of anaesthesiologists generated by artificial intelligence.
British journal of anaesthesia
Jun 27, 2024
Remote Monitoring and Artificial Intelligence: Outlook for 2050.
Anesthesia and analgesia
Jan 12, 2024
Remote monitoring and artificial intelligence will become common and intertwined in anesthesiology by 2050. In the intraoperative period, technology will lead to the development of integrated monitoring systems that will integrate multiple data strea...
American Society of Anesthesiologists (ASA) physical status system predicts the risk of postoperative Clavien-Dindo complications greater than one at 90 days after robot-assisted radical prostatectomy: final results of a tertiary referral center.
Journal of robotic surgery
Nov 27, 2022
To test the hypothesis of an association between the American Society of Anesthesiologists (ASA) physical status classification system and the risk of 90-days postoperative complications after robot-assisted radical prostatectomy (RARP), graded using...
Predicting anesthetic infusion events using machine learning.
Scientific reports
Dec 8, 2021
Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists d...
Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey.
World neurosurgery
Nov 25, 2020
BACKGROUND: Artificial intelligence (AI) has the potential to disrupt how we diagnose and treat patients. Previous work by our group has demonstrated that the majority of patients and their relatives feel comfortable with the application of AI to aug...
Artificial Intelligence in Echocardiography for Anesthesiologists.
Journal of cardiothoracic and vascular anesthesia
Aug 24, 2020
Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment of patients with cardiovascular diseases. However, there are high levels of interoperator variations in echocardiography interpretations that could lead to inac...
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