Efficient and Accurate Computed Tomography–Based Stone Volume Determination: Development of an Automated Artificial Intelligence Algorithm
橙色(颜色)
医学
人工智能
图书馆学
计算机科学
化学
食品科学
作者
Andrei D. Cumpanas,Chanon Chantaduly,Kalon L. Morgan,Wei Shao,Antônio Rebello Horta Görgen,Candices M. Tran,Yi Xi Wu,Amanda McCormac,Zachary E. Tano,Roshan M. Patel,Peter D. Chang,Jaime Landman,Ralph V. Clayman
Given the shortcomings of current stone burden characterization (maximum diameter or ellipsoid formulas), we sought to investigate the diagnostic accuracy and precision of a University of California, Irvine-developed artificial intelligence (AI) algorithm for determining stone volume determination.