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 ...
As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most intimate data — our minds?
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
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. It detects small electrical signals produced when neurons in the brain ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
AI decodes brain activity and transforms thoughts into words, opening new frontiers for healthcare and assistive ...
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
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