Researchers developed an AI model that can estimate lung function from chest radiographs with high accuracy, potentially expanding options for pulmonary function assessment in patients who have difficulty performing spirometry. The study found a remarkably high agreement rate between the AI model's estimates and actual spirometric data.
A new multivariable integrated evaluation (MVIE) method provides a comprehensive and quantitative evaluation of climate model performance. The method includes three levels of statistical metrics, offering an integrated evaluation of model performance in simulating multiple fields.
Researchers used optical coherence tomography (OCT) to scan retinal nerve fibers, finding correlations with brain MRI scans and suggesting an inexpensive alternative for tracking MS. OCT scans can detect early optic nerve damage, potentially identifying MS before brain damage occurs.