IEEE journal of biomedical and health informatics
Utilizing Artificial Intelligence (AI) and Image Recognition Technologies to achieve Potential Wireless Sensing of Surgical Resection Boundaries for Benign Prostatic Hyperplasia (BPH).
Meishan Zhao, Jingcheng Lv, Xuanhao Li, Tianming Cheng, Fangzhou Zhao, Liangshuo Zhang, Yichen Zhu, Mingjun Shi, Jian Song, Ye Tian, Boyu Yang
Published: 202510.1109/JBHI.2025.3628851
Abstract
BACKGROUND AND OBJECTIVE: Precise intraoperative sensing is critical for optimizing surgical outcomes and patient safety. This study proposes an AI driven model, leveraging the nnU-Net architecture, to achieve real-time identification of surgical res…
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