双层
对偶(语法数字)
骨矿物
探测器
双重目的
图层(电子)
材料科学
人工智能
生物医学工程
计算机科学
医学
工程类
内科学
复合材料
电信
艺术
骨质疏松症
文学类
机械工程
作者
Yali Li,Dan Jin,Yan Zhang,Wenhuan Li,Chenyu Jiang,Ming Ni,Neng-Hui Liao,Huishu Yuan
出处
期刊:Bone
[Elsevier]
日期:2024-11-06
卷期号:192: 117321-117321
标识
DOI:10.1016/j.bone.2024.117321
摘要
Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-water to respond to BMD changes without requiring dedicated software or calibration. Artificial intelligence (AI) has been utilized for diagnosising osteoporosis in routine CT scans but has rarely been used in DECT. This study investigated the diagnostic performance of an AI system for osteoporosis screening using DECT images with reference quantitative CT (QCT).
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