Trauma Monthly

Trauma Monthly

Overview of Artificial Intelligence in the Anesthesiology Field of Critical Care Patients

Document Type : Narrative Review

Authors
1 Atherosclerosis research center, Clinical Sciences Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
2 Chemical Injuries Research Center and Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
Abstract
Introduction: Artificial intelligence (AI) is transforming various medical fields, including pathology, radiology, cardiology, and surgery, by offering innovative therapeutic and interventional solutions. AI is revolutionizing medical research and has become vital in advancing medical technology. This study assessed the role of artificial intelligence in the anesthesiology field.
Methods: We search studies in the online databases such as PubMed, Scopus and google scholar. Related records were included in this study.
Results: Its role in enhancing patient care is particularly reassuring, as it allows healthcare professionals to offer superior services through the integration of AI in medicine. Moreover, AI's indispensable role in the progress of the anesthesia field, having made significant contributions across various anesthetic applications since its early adoption, further reinforces this reassurance. Embracing AI in healthcare not only enhances treatment outcomes but also sets the stage for a healthier future. AI applications include screening symptoms, predicting adverse actions, personalizing medication dosages, and streamlining record-keeping, all of which aim to enhance patient outcomes. While integrating AI offers exciting opportunities, challenges such as data quality, technical limitations, ethical considerations, and high costs must be addressed. Inaccurate data can compromise patient safety, and insufficient security measures can lead to privacy breaches. Moreover, legal accountability for AI errors in patient management is complex.
Conclusion: The future is promising, with AI capable of enhancing training and education. It can modernize anesthesia education through chronic pain management tools and realistic training simulations, ultimately preparing the next generation of healthcare providers.
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Volume 29, Issue 6
November and December 2024
Pages 1315-1321

  • Receive Date 15 December 2024
  • Accept Date 25 December 2024