使

Xi Chen1, Yiming Ye1, Huan Yao1

  • 1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Sun Yat-Sen University, Guangzhou, People's Republic of China.

PubMed
概括

人工智能 (AI) 模型可以使用多个眼科设备的数据准确地预测可植入合镜头 (ICL) 的密室和尺寸. 超声波生物显微镜 (UBM) 测量特别有效地提高了ICL手术的安全性和精度.