Deep learning for histopathological diagnosis of esophageal squamous cell carcinoma in biopsies: A multicenter analysis

Key Points

• Deep learning improves accuracy in diagnosing esophageal squamous cell carcinoma from biopsies, enhancing histopathology.
• The model achieved an accuracy of 92% in identifying seminal histopathological features of esophageal carcinoma.
• Multicenter analysis across several hospitals provides robust evidence for the effectiveness of the deep learning model.
• This study suggests integration of this technology in clinical settings may lead to better diagnostic precision.