A NaiveBayes machine learning algorithm can predict osteoporosis in OVCF patients using t1-sequence MRI images of lumbar compression fractures. This approach aims to obviate the necessity for further osteoporosis assessments, diminish patient exposure to radiation, and bolster the clinical care of patients with OVCF.
Keyphrases
- machine learning
- postmenopausal women
- bone mineral density
- deep learning
- end stage renal disease
- minimally invasive
- healthcare
- newly diagnosed
- ejection fraction
- chronic kidney disease
- contrast enhanced
- magnetic resonance imaging
- prognostic factors
- peritoneal dialysis
- artificial intelligence
- case report
- radiation therapy
- lymph node metastasis
- optical coherence tomography
- health insurance