Researchers use artificial intelligence to determine extent of damage in kidney disease eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
Knee osteoarthritis (OA) is considered a universal health issue. Nearly half the adults aged more than 75 years have some form of knee OA one of the major reasons for disability across the world.
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(Boston) Knee osteoarthritis (OA) is a global health problem. Almost half the adults over the age of 75 have some form of knee OA one of the leading causes of disability worldwide. Because there is no cure for knee OA, current treatment relies on accurately identifying and staging the disease.
Using an Artificial Intelligence-based approach known as deep learning, researchers from Boston University School of Medicine (BUSM) have now identified a new measure to determine the severity of knee osteoarthritis named subchondral bone length (SBL).
There are only a handful of proven imaging markers of knee OA. Currently, medical imaging tools such as Magnetic Resonance Imaging (MRI) or x-rays are used to examine the knee joint. Our study identified a new imaging measure that has the potential to become a biomarker of knee OA, explained corresponding author explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at BUSM.
AI Approach Helps Classify Alzheimer s Disease with Improved Accuracy azorobotics.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from azorobotics.com Daily Mail and Mail on Sunday newspapers.
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(Boston) Warning signs for Alzheimer s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease s destruction of the brain. Improving the diagnostic accuracy of Alzheimer s disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial, explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).
Using an advanced AI (artificial intelligence) framework based on game theory (known as generative adversarial network or GAN), Kolachalama and his team processed brain images (some low and high quality) to generate a model that was able to classify Alzheimer s disease with improved accuracy.