Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that harnesses a broad array of data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations and multimodal… Continue reading #AI-based differential diagnosis of #dementia etiologies on multimodal data
Tag: artificial-intelligence
AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
BackgroundBody composition data have been limited to adults with disease or older age. The prognostic impact in otherwise asymptomatic adults is unclear.PurposeTo use artificial intelligence–based body composition metrics from routine abdominal CT scans in asymptomatic adults to clarify the association between obesity, liver steatosis, myopenia, and myosteatosis and the risk of mortality. Materials and MethodsIn… Continue reading AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
FDA Authorizes Marketing of First Cardiac #Ultrasound Software That Uses Artificial #Intelligence to Guide User
..the U.S. Food and Drug Administration authorized marketing of software to assist medical professionals in the acquisition of cardiac ultrasound, or echocardiography, images. The software, called Caption Guidance, is an accessory to compatible diagnostic ultrasound systems and uses artificial intelligence to help the user capture images of a patient’s heart that are of acceptable diagnostic… Continue reading FDA Authorizes Marketing of First Cardiac #Ultrasound Software That Uses Artificial #Intelligence to Guide User