부산대학교 도서관

This article discusses the potential applications of artificial intelligence (AI) in the field of obstetric anesthesia. AI can be used to optimize pre-procedure assessments, improve success rates in epidural and spinal anesthesia, predict and prevent hemodynamic crises, ensure optimal drug administration, and refine pain management. AI algorithms can be used to predict the need for cesarean sections and postoperative complications, assess airway difficulties in pregnant patients, guide needle placement for regional anesthesia, estimate optimal drug doses, and predict adverse events during surgery. However, there are still challenges to overcome, such as data collection, ethical and legal issues, and the need for further research and development. Overall, AI has the potential to enhance clinical decision-making and treatment in obstetric anesthesia, but further advancements are needed. [Extracted from the article]