Researchers in Bochum are pursuing a novel strategy to identify tumors using artificial intelligence.
An Artificial Intelligence (AI) model has been shown to have the capacity to forecast the best personalized anti-seizure medicine for individuals with recently diagnosed epilepsy, according to a Monash University-led study, believed to be the first in the world.
Routine echocardiograms are used by a cutting-edge artificial intelligence (AI) algorithm to pinpoint aortic stenosis patients who are at high risk of passing away and could benefit from treatment.
Researchers at NuraLogix, a global leader in HealthTech AI, announced today that they have developed AI models that can predict a person's risk of HbA1C levels and Fasting Blood Glucose levels being above a significant clinical threshold for pre-diabetes.
A*STAR researchers at the Genome Institute of Singapore (GIS) have created the Variant Network (VarNet), an innovative artificial intelligence (AI)-based technique that can examine and find cancer mutations (variants) among the millions of DNA fragments found in a tumor sample.
Women are more likely than men to die from heart attacks. The causes are age disparities and the burdens of comorbidities, which makes risk assessment in women difficult.
Lunit, a leading medical AI provider, today announced that it received commercial approval in Taiwan for Lunit INSIGHT MMG, the company's AI solution for mammography analysis. Recently, the Taiwan Food and Drug Administration (TFDA) issued a class 2 medical device license for Lunit's AI breast cancer detection solution.
An international research team led by Lund University in Sweden has created a method that can precisely date up to ten-thousand-year-old human remains by examining DNA with the use of artificial intelligence (AI).
Relying mainly on the advent of motor symptoms like stiffness, slowness, and tremors, Parkinson’s disease is extremely challenging to detect. However, these symptoms usually occur after many years of disease onset.
Is it possible to employ artificial intelligence to help in the early diagnosis of autism spectrum disorder? Researchers from the University of Arkansas are attempting to provide an answer to that query.
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