AIMC Topic: Anesthesia
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Safety improvement requires data: the case for automation and artificial intelligence during incident reporting.
British journal of anaesthesia
Jul 29, 2024
The reporting of incidents has a long association with safety in healthcare and anaesthesia, yet many incident reporting systems substantially under-report critical events. Better understanding the underlying reasons for low levels of critical incide...
Effect of dexamethasone pretreatment using deep learning on the surgical effect of patients with gastrointestinal tumors.
PloS one
Jul 17, 2024
To explore the application efficacy and significance of deep learning in anesthesia management for gastrointestinal tumors (GITs) surgery, 80 elderly patients with GITs who underwent surgical intervention at our institution between January and Septem...
Machine learning: implications and applications for ambulatory anesthesia.
Current opinion in anaesthesiology
Jul 8, 2024
PURPOSE OF REVIEW: This review explores the timely and relevant applications of machine learning in ambulatory anesthesia, focusing on its potential to optimize operational efficiency, personalize risk assessment, and enhance patient care.
Artificial intelligence and nonoperating room anesthesia.
Current opinion in anaesthesiology
May 16, 2024
PURPOSE OF REVIEW: The integration of artificial intelligence (AI) in nonoperating room anesthesia (NORA) represents a timely and significant advancement. As the demand for NORA services expands, the application of AI is poised to improve patient sel...
Validation of a natural language processing algorithm using national reporting data to improve identification of anesthesia-related ADVerse evENTs: The "ADVENTURE" study.
Anaesthesia, critical care & pain medicine
May 6, 2024
BACKGROUND: Reporting and analysis of adverse events (AE) is associated with improved health system learning, quality outcomes, and patient safety. Manual text analysis is time-consuming, costly, and prone to human errors. We aimed to demonstrate the...
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment.
Artificial intelligence in medicine
Apr 4, 2024
Anaesthesia, crucial to surgical practice, is undergoing renewed scrutiny due to the integration of artificial intelligence in its medical use. The precise control over the temporary loss of consciousness is vital to ensure safe, pain-free procedures...
Advances in pediatric perioperative care using artificial intelligence.
Current opinion in anaesthesiology
Feb 26, 2024
PURPOSE OF THIS REVIEW: This article explores how artificial intelligence (AI) can be used to evaluate risks in pediatric perioperative care. It will also describe potential future applications of AI, such as models for airway device selection, contr...
Robotic Anesthesia: A Vision for 2050.
Anesthesia and analgesia
Jan 12, 2024
The last 2 decades have brought important developments in anesthetic technology, including robotic anesthesia. Anesthesiologists titrate the administration of pharmacological agents to the patients' physiology and the needs of surgery, using a variet...
Anesthesia management experience for pediatric day-case PDA ligation under thoracoscopy assisted by a robot: a retrospective study.
Journal of cardiothoracic surgery
Dec 19, 2023
BACKGROUND: To summarize the anesthesia management experience for pediatric day-case patent ductus arteriosus (PDA) ligation under robot-assisted thoracoscopy and explore the key points of anesthesia management for this procedure.
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