Diagnose injury like brain trauma from visual scans

Researchers from Stanford University develop a predictive model to identify knee injuries in MRI scans and avoid misdiagnosis

Capitol Health improves accuracy of diagnosis from scans, X-rays etc using deep learning

Imagen Tech''s Osteodetect platform which uses deep learning to detect wrist fractures has acquired FDA approval

Viz.ai''s deep learning solution which automatically detects strokes from CTA scans reducing detection time from 66 to 6 minutes has earned FDA approval

Qure.ai can detect critical head trauma or stroke symptoms from CT scans with more than 95% accuracy using deep neural networks and natural language processing