Application of deep learning-based convolutional neural networks in gastrointestinal disease endoscopic examination.

A significant trend is the development of models for automated severity grading of IBDs like ulcerative colitis and Crohn’s disease, with results showing high concordance to expert-level assessments and a reduction in inter-observer bias.

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The studies presented in Table 4 demonstrate a clear trend toward developing and validating systems for immediate application during procedures, encompassing tasks from real-time anatomical classification and recognition to automated disease detection and a real-time assessment of Helicobacter pylori status.

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