Luying HUANG, Qirong SUN, Yun MA, Hui YANG
Journal of Clinical and Experimental Investigations - 2026;17(2):1-11
Artificial intelligence (AI) is increasingly incorporated into anesthesiology as clinicians seek tools that can enhance risk assessment, strengthen intraoperative monitoring, and support timely clinical decision-making. Recent studies describe its potential to assist with preoperative evaluation, predict physiological instability, and identify postoperative complications earlier than conventional methods. These applications highlight the capacity of AI to improve consistency and situational awareness across perioperative care. However, its broader clinical use remains limited by variability in data quality, the need for transparent algorithmic behavior, and uncertainties regarding clinical validation and integration into existing workflows. Understanding both the opportunities and constraints of AI is essential for guiding its safe and meaningful incorporation into anesthesiology practice.
