Newer Advancement in Anaesthesia

Description

Artificial Intelligence (AI) has emerged as a transformative force in modern anaesthesiology, fundamentally altering how clinicians monitor patients, predict complications, deliver anaesthesia, and make critical perioperative decisions. This chapter provides a comprehensive exploration of AI technologies in anaesthetic practice, beginning with foundational concepts of computational intelligence and progressing through clinical applications in depth of anaesthesia monitoring, risk stratification, airway management, ultrasound-guided procedures, and pain management. The integration of machine learning algorithms, neural networks, and clinical data analytics has enabled real-time pattern recognition, predictive modeling, and decision support that enhance patient safety and optimize resource utilization. While AI systems demonstrate remarkable capabilities in processing complex physiological data and identifying subtle clinical patterns, their implementation raises important questions regarding interpretability, validation, regulatory approval, and the evolving role of human expertise in technology-assisted care. This chapter systematically examines both the promising applications and inherent limitations of AI in anaesthesiology, providing readers with a balanced understanding of how intelligent systems are reshaping perioperative medicine while emphasizing that human judgment remains central to safe, compassionate patient care.

About the Authors

Dr. Hilal Ahmed Bhat
MBBS, DA, DNB (Anesthesiology & Critical Care) Senior Resident in Anesthesiology with extensive experience in cardiac, neuro, pediatric, obstetric, transplant, and critical care anesthesia. Skilled in advanced regional blocks, airway management, trauma resuscitation, and ICU care. Actively involved in research and academic medicine.

Dr. Talib Khan
MBBS, MD Additional Professor, Division of Cardiovascular & Thoracic Anesthesiology, SKIMS Soura, Srinagar
Senior Consultant in cardiac anesthesia and critical care with over 15 years of academic and clinical experience. His work focuses on perioperative innovation, patient safety, and the integration of artificial intelligence in anesthesia and critical care. A certified CCLS and BCLS instructor, he has multiple national and international publications and is a recipient of the Best Doctor Award and Best COVID-19 Warrior Award.

Altaf Hussain Mir
MBBS, MD (Anesthesiology & Critical Care) Assistant Professor, SKIMS Soura, Srinagar Experienced anesthesiologist and critical care specialist with over a decade of post-MD clinical and academic practice. Trained at premier institutions including GMC Srinagar, SKIMS, and GTB Hospital Delhi, with international qualification from the Saudi Commission for Health Specialties. His work focuses on perioperative care, critical care management, and continuous advancement in anesthesiology practice.

Dr. Shaista Yaqoob
MD Anesthesia Assistant professor Department of Anesthesiology SKIMS Soura.

Dr. Tabasum Shebnum
Assistant professor department of Anesthesiology skims soura Special interest in cardiovascular and thoracic anesthesia Pain and palliative care medicine

Book Details

ISBN: 9789347142277

Publisher: AgniLeaf

Number of Pages: 149

Dimensions: A4

Interior Pages: B&W

Binding: Paperback (Perfect Binding)

Availability: In Stock (Print on Demand)

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