Researchers from Boston University School of Medicine (BUSM) have developed a novel Artificial Intelligence (AI) tool to predict the grade of IFTA, a known structural correlate of progressive and chronic kidney disease.
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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.