Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology.

Journal: Journal of translational medicine
PMID: 40205603

Abstract

BACKGROUND: Malignant digestive tract tumors are highly prevalent and fatal tumor types globally, often diagnosed at advanced stages due to atypical early symptoms, causing patients to miss optimal treatment opportunities. Traditional endoscopic and pathological diagnostic processes are highly dependent on expert experience, facing problems such as high misdiagnosis rates and significant inter-observer variations. With the development of artificial intelligence (AI) technologies such as deep learning, real-time lesion detection with endoscopic assistance and automated pathological image analysis have shown potential in improving diagnostic accuracy and efficiency. However, relevant applications still face challenges including insufficient data standardization, inadequate interpretability, and weak clinical validation.

Authors

  • Yinhu Gao
    Department of Gastroenterology, Shaanxi Province Rehabilitation Hospital, Xi'an, Shaanxi, China.
  • Peizhen Wen
    Department of General Surgery, Changzheng Hospital, Navy Medical University, 415 Fengyang Road, Shanghai, 200003, China. wenpeizhen1996@163.com.
  • Yuan Liu
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
  • Yahuang Sun
    Division of Colorectal Surgery, Changzheng Hospital, Navy Medical University, 415 Fengyang Road, Shanghai, 200003, China.
  • Hui Qian
    The Laboratory of Artificial Intelligence and Bigdata in Ophthalmology, Affiliated Eye Hospital, Nanjing Medical University, Nanjing, China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Huan Peng
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Yanli Gao
    Infection Control Office, Shaanxi Province Rehabilitation Hospital, Xi'an, Shaanxi, China.
  • Cuiyu Li
    Advanced Computing East China Sub-center, Suma Technology Co., Ltd., Kunshan 215300, China.
  • Zhangyuan Gu
    Tongji University School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China.
  • Huajin Zeng
    Department of General Surgery, Changzheng Hospital, Navy Medical University, 415 Fengyang Road, Shanghai, 200003, China.
  • Zhijun Hong
    The Health Management Center, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Weijun Wang
    Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
  • Ronglin Yan
    Department of Gastroenterology, Changzheng Hospital, Naval Medical University, 415 Fengyang Road, Shanghai, 200003, China. yanronglin@smmu.edu.cn.
  • Zunqi Hu
    Department of Gastrointestinal Surgery, Changzheng Hospital, Navy Medical University, 415 Fengyang Road, Shanghai, 200003, China. xiaoqiyhe@163.com.
  • Hongbing Fu
    Department of Gastrointestinal Surgery, Changzheng Hospital, Navy Medical University, 415 Fengyang Road, Shanghai, 200003, China. fuhongbing@smmu.edu.cn.

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