Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era.

Journal: World journal of gastroenterology
Published Date:

Abstract

Esophageal squamous cell carcinoma (ESCC) is the most common histological type of esophageal cancer with a poor prognosis. Early diagnosis and prognosis assessment are crucial for improving the survival rate of ESCC patients. With the advancement of artificial intelligence (AI) technology and the proliferation of medical digital information, AI has demonstrated promising sensitivity and accuracy in assisting precise detection, treatment decision-making, and prognosis assessment of ESCC. It has become a unique opportunity to enhance comprehensive clinical management of ESCC in the era of precision oncology. This review examines how AI is applied to the diagnosis, treatment, and prognosis assessment of ESCC in the era of precision oncology, and analyzes the challenges and potential opportunities that AI faces in clinical translation. Through insights into future prospects, it is hoped that this review will contribute to the real-world application of AI in future clinical settings, ultimately alleviating the disease burden caused by ESCC.

Authors

  • Wan-Yue Zhang
    School of Medicine, Southeast University, Nanjing 221000, Jiangsu Province, China.
  • Yong-Jian Chang
    School of Cyber Science and Engineering, Southeast University, Nanjing 210009, Jiangsu Province, China.
  • Rui-Hua Shi
    Department of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing, Jiangsu Province, China.