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Large Language Models vs. Machine Learning on Structured Perioperative Data: Does Model Choice Matter?
Theodora Wingert1, Xuezhi Dong2
1Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles, 757 Westwood Plaza, Suite 3325, Los Angeles, CA, USA. twingert@mednet.ucla.edu.
None:
The study by Ko and colleagues provides evidence that large language models may achieve modestly improved performance compared with traditional machine learning models when applied to structured perioperative data. However, whether such incremental model performance gains can be translated into improvements in clinical decision-making, workflow integration, or patient outcomes remains an important question for future investigation.