Future Directions in Anesthesia: AI Integration and Precision Medicine

Abstract

Anesthesia has undergone remarkable transformations over the past century, evolving from rudimentary pain control methods to advanced, patient-centered care systems. As technology continues to reshape healthcare, artificial intelligence (AI) and precision medicine are emerging as the next frontiers in anesthesiology. This paper explores how AI-driven analytics, machine learning algorithms, and genomic-based precision medicine are revolutionizing anesthetic decision-making, patient safety, perioperative monitoring, and individualized treatment planning. Through a comprehensive review of current literature and emerging trends, this paper identifies the opportunities and challenges associated with integrating AI into anesthesia practice, emphasizing ethical considerations, data security, and interdisciplinary collaboration. The ultimate goal is to envision a future where anesthetic care is safer, more personalized, and supported by intelligent technologies.