Artificial intelligence in endoscopic diagnosis of esophageal squamous cell carcinoma and precancerous lesions.

Journal: Chinese medical journal
Published Date: Feb 26, 2025

Abstract

Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge, necessitating early detection, timely diagnosis, and prompt treatment to improve patient outcomes. Endoscopic examination plays a pivotal role in this regard. However, despite the availability of various endoscopic techniques, certain limitations can result in missed or misdiagnosed ESCCs. Currently, artificial intelligence (AI)-assisted endoscopic diagnosis has made significant strides in addressing these limitations and improving the diagnosis of ESCC and precancerous lesions. In this review, we provide an overview of the current state of AI applications for endoscopic diagnosis of ESCC and precancerous lesions in aspects including lesion characterization, margin delineation, invasion depth estimation, and microvascular subtype classification. Furthermore, we offer insights into the future direction of this field, highlighting potential advancements that can lead to more accurate diagnoses and ultimately better prognoses for patients.

Authors

  • Nuoya Zhou
    Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, West China Hospital, Sichuan University, No.37, Guo Xue Alley, Wuhou District, Chengdu, Sichuan, China.
  • Xianglei Yuan
    Department of Gastroenterology and Hepatology, Digestive Endoscopy Medical Engineering Research Laboratory, Wuhou District, West China Hospital, Sichuan University, No. 37, Guo Xue Alley, Chengdu City, 610041, Sichuan Province, China.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.
  • Qi Luo
    B-DAT & CICAEET, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, PR China.
  • Ruide Liu
    Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China.
  • Bing Hu
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals