Publications by authors named "Hibiki Kondo"
Article Synopsis
- - The study focused on creating a deep learning model to recognize different phases of laparoscopic distal gastrectomy surgery by analyzing videos from 20 hospitals, with the goal of improving surgical skill assessment.
- - The deep learning model achieved an accuracy rate of 88.8% in recognizing surgical phases, and it found that skilled surgeons took fewer frames during critical phases compared to less skilled surgeons.
- - Results suggest the model could be useful for automatic surgical skill assessments, as it showed significant differences in phase performance between high and low skill score groups.
Background: The entire pharynx should be observed endoscopically to avoid missing pharyngeal lesions. An artificial intelligence (AI) model recognizing anatomical locations can help identify blind spots. We developed and evaluated an AI model classifying pharyngeal and laryngeal endoscopic locations.
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