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[Multimodal Data-Driven Prediction of Gynecological Surgery Duration]
Yong Huang1, Zhilin Yong1, Banghua Wu1
1（ 610066） West China Second University Hospital, Sichuan University, Chengdu 610066, China.
Summary
We developed an AI model using surgical text to predict gynecological surgery duration. This model significantly improves prediction accuracy, aiding in better surgical resource management.
Area of Science:
- Artificial Intelligence in Medicine
- Surgical Data Science
- Machine Learning for Healthcare
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