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How large language models can augment perioperative medicine: a daring discourse.
Rodney A Gabriel1, Edward R Mariano2,3, Julian McAuley4
1Anesthesiology, University of California San Diego, La Jolla, California, USA ragabriel@health.ucsd.edu.
Large language models (LLMs) offer significant potential in perioperative medicine for clinical decision support, research analysis, and documentation. Understanding LLM strengths and limitations is crucial for adapting this technology to improve patient care.
Area of Science:
- Artificial Intelligence
- Clinical Informatics
- Perioperative Medicine
Background:
- The rapid advancement of large language models (LLMs), exemplified by ChatGPT, has spurred interest in their clinical applications.
- Understanding the capabilities and constraints of LLMs is essential for their effective integration into medical practice.
Conclusions:
- LLMs represent a transformative technology in healthcare that perioperative providers must adapt to.
- Proactive integration of LLMs can improve patient care and operational efficiency, rather than posing a threat to clinical decision-making.
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