Application progress and clinical translation of artificial intelligence-assisted endoscopic diagnosis of early esophageal squamous cell carcinoma

Keywords: Artificial intelligence, Endoscopy, Esophageal squamous cell carcinoma, Precancerous lesions

TL;DR: Worth to read

Abstract: Early and accurate diagnosis of esophageal squamous cell carcinoma (ESCC) is key to improving patient outcomes. Endoscopy plays a central role in its early diagnosis and treatment. Despite advances in imaging technology, clinical challenges remain, including missed diagnosis of flat lesions and subjective variability among physicians. Artificial intelligence has demonstrated transformative potential in endoscopic diagnosis, offering an effective solution to overcome existing bottlenecks and improve the accuracy of early ESCC identification. This article systematically reviews the clinical value of artificial intelligence in ESCC detection, classification, and invasion depth prediction, aiming to identify the technical advantages, bottlenecks in clinical translation, and future research directions.

Submission Number: 57