Diagnostic accuracy of chest X-ray and CT using artificial intelligence for osteoporosis: systematic review and meta-analysis.
Norio YamamotoAkihiro ShiroshitaRyota KimuraTomohiko KamoHirofumi OgiharaTakahiro TsugePublished in: Journal of bone and mineral metabolism (2024)
This review suggests that chest X-ray with AI has a high sensitivity for the diagnosis of osteoporosis, highlighting its potential for opportunistic screening. However, the risk of bias of patient selection in most studies were high. More research with adequate participants' selection criteria for screening tool will be needed in the future.
Keyphrases
- artificial intelligence
- dual energy
- postmenopausal women
- computed tomography
- machine learning
- bone mineral density
- big data
- deep learning
- high resolution
- image quality
- case report
- contrast enhanced
- current status
- positron emission tomography
- electron microscopy
- magnetic resonance imaging
- body composition
- case control
- magnetic resonance