Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise

AUC comparison among different models. (A) AUC comparison among different models with different sample sizes; (B) AUC comparison among different models with different numbers of variables. OST applies a simple regression model based on age and body weight. Credit: Frontiers in Artificial Intelligence (2024). DOI: 10.3389/frai.2024.1355287 Osteoporosis is so difficult to detect in early stage it’s called the “silent disease.” What if artificial intelligence could help predict a patient’s chances of having the bone-loss disease before ever stepping into a doctor’s office? Tulane University researchers made progress toward that vision Read More

Related posts:

  1. Deep learning shows promise for soft tissue sarcoma management
  2. Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease
  3. Researchers develop machine learning model to identify disease subtypes
  4. Comparative analysis shows FAPI PET/CT improves staging of newly diagnosed breast cancer
  5. Adding newly identified compound makes naloxone more potent, longer lasting, mouse study shows
  6. Why the keto diet shows promise
  7. ‘Time cells’ in the brain are critical for complex learning, study shows
  8. AI assistant shows great promise in cataract care pathway

Leave a Reply

Your email address will not be published. Required fields are marked *