Artificial Intelligence in Regional Anesthesia and Pain Management

Abstract

Artificial intelligence (AI) is improving regional anesthesia by bringing unparalleled precision and efficiency to ultrasound-guided procedures. Using advanced machine learning algorithms like convolutional neural networks, AI can instantly interpret ultrasound images, accurately identifying nerves, blood vessels, and other critical anatomic structures. This real-time analysis dramatically shortens the learning curve for anesthesiologists, enhancing needle placement accuracy and reducing procedural errors. In labor anesthesia, AI-powered systems such as the spinal level identification device have demonstrated superior accuracy in locating spinal interspaces, especially in patients with high body mass index.

Keywords: Artificial intelligence; Automation; Education; Machine learning; Pain management; Predictive analytics; Regional anesthesia; Ultrasound.