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Abstract Efficient operating room scheduling is a complex task due to the diversity of surgical types, high patient demand, and limited hospital resources. Since OR operations account for a substantial share of hospital costs, effective scheduling solutions are critical. Large language model (LLM)-based multi-agent systems offer new opportunities to support optimization for this problem.
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