Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

Yuxuan Shi; Zhen Li; Li Wang; Hong Wang; Xiaofeng Liu; Dantong Gu; Xi Chen; Xueli Liu; Wenlin Gong; Xiaowen Jiang; Wenquan Li; Yongdong Lin; Peng Liu; De-In Luo; Peng Tao; Xuemei Peng; Macy Tong; Huizhen Zheng; Xuanchen Zhou; Jianrong Wu; Georges El Fakhri; Mingzhang Chang; Jun Liao; Jieen Li; Desheng Wang; Jing Ye; Shenhong Qu; Weihong Jiang; Quan Liu; Xicai Sun; Yefeng Zheng; Hongmeng Yu

doi:10.1016/j.landig.2025.03.001

Ask about this paper

Answers are grounded in this paper and cite their sources.

Abstract

New Technologies of Endoscopic Surgery in Skull Base Tumor: CAMS Innovation Fund for Medical Science; Shanghai Science and Technology Committee Foundation; Shanghai Municipal Key Clinical Specialty; National Key Clinical Specialty Program; and the Young Elite Scientists Sponsorship Program.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Shi et al. (2025) studied this question.

synapsesocial.com/papers/69da8d31cd426f8d32a3c3d1 https://doi.org/10.1016/j.landig.2025.03.001

View Full Paper

Ask AI

Bookmark

Share

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

Ask about this paper

Abstract

Discussion

Cite This Study

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

Ask about this paper

Abstract

Discussion

Cite This Study

Keep reading

Keep reading