A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter study

BACKGROUND: Timely identification and regular surveillance of patients at high risk are crucial for early diagnosis of upper gastrointestinal cancer. However, traditional manual surveillance method is time-consuming, and current surveillance rate is below 50%. Here, we aimed to develop a surveillanc...

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Detalles Bibliográficos
Autores principales: Li, Jia, Hu, Shan, Shi, Conghui, Dong, Zehua, Pan, Jie, Ai, Yaowei, Liu, Jun, Zhou, Wei, Deng, Yunchao, Li, Yanxia, Yuan, Jingping, Zeng, Zhi, Wu, Lianlian, Yu, Honggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716327/
https://www.ncbi.nlm.nih.gov/pubmed/36467456
http://dx.doi.org/10.1016/j.eclinm.2022.101704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716327/
https://www.ncbi.nlm.nih.gov/pubmed/36467456
http://dx.doi.org/10.1016/j.eclinm.2022.101704

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