Clinical Validation of a Deep Learning-Based Software for Lumbar Bone Mineral Density and T-Score Prediction from Chest X-ray Images

Clinical Validation of a Deep Learning-Based Software for Lumbar Bone Mineral Density and T-Score Prediction from Chest X-ray Images

Screening for osteoporosis is crucial for early detection and prevention, yet it faces challenges due to the low accuracy of calcaneal quantitative ultrasound (QUS) and limited access to dual-energy X-ray absorptiometry (DXA) scans. Recent advances in AI offer a promising solution through opportunis...

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Bibliographic Details
Main Authors: Sheng-Chieh Tseng, Chia-En Lien, Cheng-Hung Lee, Kao-Chang Tu, Chia-Hui Lin, Amy Y. Hsiao, Shin Teng, Hsiao-Hung Chiang, Liang-Yu Ke, Chun-Lin Han, Yen-Cheng Lee, An-Chih Huang, Dun-Jhu Yang, Chung-Wen Tsai, Kun-Hui Chen
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Diagnostics
Subjects:
osteoporosis
bone mineral density (BMD)
chest X-ray
artificial intelligence
deep learning
Online Access:https://www.mdpi.com/2075-4418/14/12/1208

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https://www.mdpi.com/2075-4418/14/12/1208

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