Utilizing Artificial Intelligence (AI) and Image Recognition Technologies to achieve Potential Wireless Sensing of Surgical Resection Boundaries for Benign Prostatic Hyperplasia (BPH).
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DOI: 10.1109/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 resection boundaries during… read more here.
Keywords: wireless sensing; resection; recognition; resection boundaries ... See more keywords