School of Medicine, Southeast University, Nanjing 221000, Jiangsu Province, China.
School of Cyber Science and Engineering, Southeast University, Nanjing 210009, Jiangsu Province, China.
World J Gastroenterol. 2024 Oct 21;30(39):4267-4280. doi: 10.3748/wjg.v30.i39.4267.
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.
食管鳞状细胞癌（ESCC）是食管癌最常见的组织学类型，预后较差。早期诊断和预后评估对于提高 ESCC 患者的生存率至关重要。随着人工智能（AI）技术的进步和医疗数字信息的普及，AI 在辅助 ESCC 的精确检测、治疗决策和预后评估方面表现出了很高的敏感性和准确性。这为精准肿瘤学时代增强 ESCC 的综合临床管理提供了独特的机会。本综述探讨了 AI 在精准肿瘤学时代 ESCC 的诊断、治疗和预后评估中的应用，并分析了 AI 在临床转化中面临的挑战和潜在机遇。通过对未来前景的深入了解，希望本综述能为 AI 在未来临床环境中的实际应用提供参考，最终减轻 ESCC 带来的疾病负担。
