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The Current Use of Artificial Intelligence in Anesthesiology
Timothy V Feldheim1, Meghan Brennan1, Patrick Tighe1
1Department of Anesthesiology, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL 32610, USA.
Advances in Anesthesia
|November 12, 2025
Summary
Artificial intelligence (AI) shows great potential in anesthesiology, despite limited current use. AI applications can significantly improve patient monitoring, drug administration, and complication prediction in surgical settings.
Area of Science:
- Medical informatics
- Anesthesiology
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly adopted in medical fields like radiology.
- AI applications are not yet widely implemented in anesthesiology.
- AI offers significant potential to transform anesthesiology practices.
Purpose of the Study:
- To explore the potential impact and applications of artificial intelligence in anesthesiology.
- To highlight current and future roles of AI in enhancing patient care during anesthesia.
Main Methods:
- Review of current AI technologies applicable to medicine, including machine learning, deep learning, and natural language processing.
- Analysis of potential use cases within the anesthesiology domain.
Main Results:
- AI can enhance patient monitoring systems.
- AI tools can optimize drug administration protocols.
- AI has the capability to improve clinical decision-making.
- AI can be utilized to predict postoperative complications.
Conclusions:
- AI technologies, including machine learning and deep learning, hold transformative potential for anesthesiology.
- Future applications of AI in anesthesiology can lead to improved patient outcomes and optimized workflows.
- Widespread adoption of AI in anesthesiology is anticipated to enhance various aspects of patient care and safety.
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