Exploring new horizons in intraoperative hemodynamic management using artificial intelligence

Abstract

Artificial intelligence (AI) has revolutionized every field of human life. It has a more pronounced effect in the monitoring and surveillance, and healthcare professionals have been quick to recognize its ability to show and perform in a fraction of a second, what took hours, if not days, to accomplish. More and more complex medical gadgets have been developed, which are super-fast. This editorial highlights the use AI to identify and deduce inferences from the heart rate variability (HRV) in the operating room. HRV is a pivotal factor for anesthetists, reflecting intraoperative stress, brainstem activity, and the state of the autonomic nervous system (ANS) as well as cardiac health. Various AI algorithms have been developed for monitoring HRV, including pulse-beat-based algorithms. The readers are urged to learn the use of AI to manage the sick to the benefit of the patient.

Abbreviations: AI: artificial intelligence, ANS: autonomic nervous system, DNN: deep neural network, HCM: Hypertrophic cardiomyopathy, HRV: heart rate variability, PPG: photoplethysmography, RRI: R-R intervals

Keywords: artificial intelligence; Editorial; healthcare; Monitoring

Citation: Safari S, Latifi K, Negaresh M. Exploring new horizons in intraoperative hemodynamic management using artificial intelligence. Anaesth. pain intensive care 2025;29(7):656-659. DOI: 10.35975/apic.v29i7.2950

Received: March 22, 2025; Revised: August 26, 2025; Accepted: August 27, 2025