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Featured Papers
Development of a prediction model for identifying areas where tissue handling is unnecessary using deep learning architectures during robotic-assisted lobectomy for lung cancer
The Journal of Thoracic and Cardiovascular Surgery, 2026
Nakahashi K, Yoshida T, Jogan M, Yanagihara T, et al.
This study developed a deep learning model that can accurately identify "NoGo zones" during robotic right upper lobectomy, showing promise for providing real-time guidance to help surgeons avoid vascular injuries.
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