EVOLUTION OF ARTIFICIAL INTELLIGENCE IN ANESTHESIA AND ITS PATH FORWARD
Journal: International Journal of Advanced Research (Vol.12, No. 09)Publication Date: 2024-09-15
Authors : Sameer Kapoor Arushi Arvind Ghassan Kloub Shrutika Mahendra Parekh Susan Khalafallah; Hekmat Hammam;
Page : 1687-1697
Keywords : Anesthesia Artificial Intelligence Machine Learning Deep Learning Perioperative Applications Clinical Decision Support Systems Ethics;
Abstract
Artificial intelligence (AI) has brought a paradigm shift in patient management in the modern healthcare industry. This narrative literature review aims to explore the evolution of AI in the field of anesthesia and discuss its potential path forward. The increased demand for personalized care, smart decision-making tools, precision in practice, and growth in telemedicine, particularly in the realm of perioperative care, has brought AI to the forefront. By examining the existing research and applications of AI in anesthesia, this review seeks to provide insights into the current state of AI technology, its applications, implications for practicing clinicians, and the challenges and limitations that need to be addressed for its successful integration into perioperative care. This review encourages interdisciplinary teamwork between anesthesiologists, technologists, engineers, and technicians to simplify the complexities of AI implementation, address ethical issues, mitigate risks, and ensure safe perioperative care.
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