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Decision-making in anesthesiology: will artificial intelligence make intraoperative care safer?
Huong-Tram Duran1, Meredith Kingeter2, Carrie Reale2
1University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Current Opinion in Anaesthesiology
|October 22, 2023
Summary
Artificial intelligence (AI) is increasingly used in anesthesiology to support clinical decisions, aiding in predictions and enhancing procedures. Further research is needed to optimize AI integration and address challenges like trust and accountability for improved anesthesiologist decision-making.
Area of Science:
- Anesthesiology
- Artificial Intelligence
- Cognitive Science
Background:
- Clinical anesthesiology involves complex decision-making processes.
- Human decision-making is limited by factors like fatigue and cognitive biases.
- Naturalistic decision-making research informs understanding of anesthesiologists' cognitive work.
Approach:
- Explores recent applications of artificial intelligence (AI) in anesthesiology.
- Examines AI's role in supporting clinical decision-making.
- Reviews AI integration for predicting complications and enhancing regional anesthesia.
Key Points:
- AI aids in predicting intraoperative hypotension and postoperative complications.
- AI enhances structure localization for regional and neuraxial anesthesia via ultrasound integration.
- Growing attention on AI to mitigate limitations in complex clinical environments.
Conclusions:
- Realizing AI benefits requires addressing usability, workflow integration, and trust.
- Impact on decision-making, potential de-skilling, and accountability are critical considerations.
- Further research is essential for effective AI collaboration in anesthesiology.
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