An artificial intelligence algorithm developed by the University of Texas has successfully predicted 70% of earthquakes in a single experiment, demonstrating potential improvements in earthquake preparedness...
Recent Radiology This journal study evaluates the ability of a fully automated deep learning (DL) model to generate deterministic outputs for identifying clinically significant prostate cancer...
Top line: An unfavorable balance between physical activity (PA) and sedentary time (ST) is associated with a higher risk of all-cause mortality. methodology: The researchers evaluated...
Scientists at Mayo Clinic are using artificial intelligence (AI) and machine learning to analyze electroencephalogram (EEG) tests more quickly and accurately, helping neurologists spot early signs...
Recent IEEE Neural Systems and Rehabilitation Engineering Paper In this study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can...
Credit: Jamie Grill/Getty Images We Need a Better Way to Match Patients depression With the right treatment, Stanford researchers found that Today's Report Nature MedicineIn their...
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