Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validationResearch in context

Summary: Background: Urine cytology is an important non-invasive examination for urothelial carcinoma (UC) diagnosis and follow-up. We aimed to explore whether artificial intelligence (AI) can enhance the sensitivity of urine cytology and help avoid unnecessary endoscopy. Methods: In this multicent...

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Principais autores:	Shaoxu Wu, Runnan Shen, Guibin Hong, Yun Luo, Huan Wan, Jiahao Feng, Zeshi Chen, Fan Jiang, Yun Wang, Chengxiao Liao, Xiaoyang Li, Bohao Liu, Xiaowei Huang, Kai Liu, Ping Qin, Yahui Wang, Ye Xie, Nengtai Ouyang, Jian Huang, Tianxin Lin
格式:	Artigo
語言:	Inglês
出版:	Elsevier 2024-05-01
叢編:	EClinicalMedicine
主題:	Artificial intelligence Urine cytology Urothelial carcinoma Multicentre study Prospective validation
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2589537024001457
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