Hierarchical Reinforcement Learning for Fair Operating Room Scheduling in Plastic Surgery
Background:. Equitable operating room (OR) scheduling is critical for surgical training and resource usage. Traditional, hand-crafted schedules frequently perpetuate hidden biases. We present a hierarchical reinforcement learning (HRL) framework, coupled with statistical fairness analysis, to optimi...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Wolters Kluwer
2025-09-01
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| Edice: | Plastic and Reconstructive Surgery, Global Open |
| On-line přístup: | http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000007086 |
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