Assistant Professor/Director of Research and Global Outreach Department of Nurse Anesthesia/Virginia Commonwealth University Richmond, Virginia, United States
Although forecasting the complete potential of AI applications in anesthesiology is challenging, multiple studies have developed and evaluated artificial intelligence applications in anesthesiology to empower anesthesia professionals, including depth of anesthesia monitoring, control of anesthesia delivery, event prediction, ultrasound guidance, pain management, and operating room logistics. However, it is important for anesthesia professionals to learn artificial intelligence technologies in the same way as they learn anesthesia workstations. At the conclusion of the presentation, anesthesia professionals will explain the mechanisms and fundamental principles underlying classical and modern approaches to artificial intelligence, describe the clinical applications of artificial intelligence in anesthesiology, and discuss ethical implications, legal concerns, limitations, and strategies for using artificial intelligence in the field of anesthesia. When these foundations are understood, learners can easily transfer their learning from one AI application to another.
Learning Objectives:
Understand the mechanisms and fundamental principles underlying classical and modern approaches to artificial intelligence.
Describe the clinical applications of artificial intelligence in anesthesiology.
Discuss ethical implications, legal concerns, limitations, and strategies for using artificial intelligence in the field of anesthesia.