We aim to test the hypothesis that a method derived from a challenge might indeed be relevant for real-world, downstream clinical tasks. The hypothesis is tested in two steps. First, we evaluate ...

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...

A computer algorithm has achieved 98% accuracy in predicting different diseases by analyzing the color of the human tongue. The proposed imaging system developed by Iraqi and Australian researchers ...

Current brain imaging to detect silent brain infarctions (SBIs) is not feasible for the general population. Here, to overcome this challenge, we developed a retinal image-based deep learning system, ...

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...