AI Reads Brain Scans to Predict Tumor Aggressiveness Before Surgery
A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...
A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...
Researchers have built a 10.97-million-parameter neural network that classifies brain tumors on MRI with 99.2 percent accuracy while quantifying its ...
A new study of 70 gastric cancer patients finds that Zoom-DWI sharply improves tumor boundary visibility but systematically underestimates ADC ...
Keck Medicine of USC has launched an early-phase clinical trial testing CX-011, a single-injection investigational therapy designed to modulate GP130 ...
A rigorous randomized trial in Spain found that eight-hour time-restricted eating, supervised exercise, and their combination did not reduce liver ...
An exploratory MRI study used arterial spin labeling at two post-labeling delays to track cerebral blood flow estimates in healthy ...
A prospective MRI study of 64 glioma patients reveals that surgical brain injury, including infarction, microhemorrhage and two distinct patterns ...
Researchers have built AMIFound, a single foundation model trained on 3.76 million image pairs that restores and enhances medical images ...
A systematic review of machine-learning models for diabetic-foot osteomyelitis finds strikingly high reported accuracy but warns that almost no models ...
A large MRI study finds that grey matter loss in type 2 diabetes appears to begin in the left insula ...
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© 2025 Scienmag - Science Magazine