Deep Learning-Based Automated Hill Grading of Gastroesophageal Flap Valve: Model Development and Correlation Validation Against High-Resolution Esophageal Manometry
本研究开发并验证了一种基于 ResNet-152 的深度学习模型,该模型在自动评估食管胃底瓣方面实现了高准确度,表现出优于初级内镜医师的性能,并与高分辨率胃肠动力检测参数显著相关,旨在支持胃食管反流病(GERD)的标准诊断与治疗。