Global trends in the use of artificial intelligence for urological tumor histopathology: A 20-year bibliometric analysis

Global trends in the use of artificial intelligence for urological tumor histopathology: A 20-year bibliometric analysis

Background The field of urological tumor histopathology has long relied on subjective pathologist expertise, leading to diagnostic variability. Recent advances in digital pathology and artificial intelligence (AI) offer transformative potential by standardizing diagnoses, improving accuracy, and bri...

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Bibliographic Details
Main Authors: Fazhong Dai, Yifeng He, Juan Duan, Kangjian Lin, Qian Lv, Zhongxiang Zhao, Yesong Zou, Jianhong Jiang, Zongtai Zheng, Xiaofu Qiu
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251348834
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