Jacob Jaremko is a pediatric musculoskeletal radiologist, Associate Professor and AHS Endowed Chair at the University of Alberta in Edmonton. He obtained a combined MD-PhD at the University of Calgary, residency training in Diagnostic Radiology at the University of Alberta in Edmonton, and two clinical fellowships: Pediatric Radiology at the Royal Children's Hospital / University in Melbourne, Australia, and Musculoskeletal Radiology at Massachusetts General Hospital in Boston, USA. His background in deep learning began in 1999 with use of genetic algorithm-neural networks for his PhD thesis. His main research interests are in pediatric musculoskeletal development, adult arthritis, and use of artificial intelligence to automate image analysis, particularly of ultrasound.
Medical image analysis using deep learning.
Semi-quantitative and quantitative imaging of arthritis.
artificial intelligence, bone remodeling, cartilage, CT, deep learning, epidemiology, imaging, knee, MRI, musculoskeletal, osteoarthritis, outcomes, therapy, ultrasound
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