The physical, emotional, and financial costs of falling down are going up. Fall-related injuries among Canadian seniors are ...
A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental ...
Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...
A new deep learning system developed by an international research team detects melanoma with 94.5% accuracy by fusing ...
The author Avi Jorisch, who wrote a treatise on technology, “Thou Shalt Innovate,” observed, “Like every true revolution, it ...
On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning
Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
Abstract: Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to ...
Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...
Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
Risk stratification of patients with chest pain has traditionally focused on identifying obstructive coronary artery disease (CAD). Using this traditional approach, many symptomatic individuals are ...
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