Can a deep learning CNN model identify surgical phases in laparoscopic cholecystectomy?
A deep learning CNN model successfully identified surgical phases in laparoscopic cholecystectomy, demonstrating potential utility for AI-based medical devices.
The deep learning CNN model in this study successfully identified both the six surgical phases and the redundant phase, P0, which may increase the versatility of the surgical process recognition model for clinical use. We believe that this model can be used in artificial intelligence for medical devices. The degree of recognition accuracy is expected to improve with developments in advanced deep learning algorithms.
Shinozuka et al. (Wed,) studied this question.