Machine Learning in Perioperative Management: Applications and Progress
DOI:
https://doi.org/10.53469/jcmp.2025.07(01).29Keywords:
Machine Learning (ML), Perioperative, Anesthesia, Personalized MedicineAbstract
The application of machine learning (ML) technology in perioperative management is increasing, with its importance lying in enhancing surgical safety, improving patient outcomes, reducing healthcare costs, and optimizing anesthetic management. Research progress indicates that ML technology has shown great potential in perioperative risk prediction, real-time monitoring, and rationality assessment of prescriptions, and is gradually changing clinical practice in anesthesiology. We will introduce the perioperative application of ML from the aspects of preoperative assessment, intraoperative management, and postoperative recovery. In addition, we will discuss the progress and challenges of ML in recent years, as well as the future use and research directions of ML.
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