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

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

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 high...

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Main Authors: Yinhu Gao, Peizhen Wen, Yuan Liu, Yahuang Sun, Hui Qian, Xin Zhang, Huan Peng, Yanli Gao, Cuiyu Li, Zhangyuan Gu, Huajin Zeng, Zhijun Hong, Weijun Wang, Ronglin Yan, Zunqi Hu, Hongbing Fu
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Journal of Translational Medicine
Subjects:
Malignant digestive tract tumors
Endoscopy
Pathology
Artificial intelligence
Deep learning
Diagnosis
Online Access:https://doi.org/10.1186/s12967-025-06428-z
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https://doi.org/10.1186/s12967-025-06428-z

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