YuChen Zhang, YiShu Deng, QiHua Zou, BingZhong Jing, PeiQiang Cai, XiaoPeng Tian, Yu Yang, BingZong Li, Fang Liu, ZhiHua Li, ZaiYi Liu, ShiTing Feng, TingSheng Peng, YuJun Dong, XinYan Wang, GuangYing Ruan, Yun He, ChunYan Cui, Jiao Li, Xiao Luo, HuiQiang Huang, HaoHua Chen, SongQi Li, Ying Sun, ChuanMiao Xie, Liang Wang, ChaoFeng Li, QingQing Cai
Accurate diagnosis and prognosis prediction are conducive to early intervention and improvement of medical care for natural killer/T cell lymphoma (NKTCL). Artificial intelligence (AI)-based systems are developed based on nasopharynx magnetic resonance imaging. The diagnostic systems achieve areas under the curve of 0.905-0.960 in detecting malignant nasopharyngeal lesions and distinguishing NKTCL from nasopharyngeal carcinoma in independent validation datasets. In comparison to human radiologists, the diagnostic systems show higher accuracies than resident radiologists and comparable ones to senior radiologists...
April 25, 2024: Cell reports medicine