Jacob Jaremko

Area of Study / Keywords

MRI CT bone remodeling musculoskeletal knee osteoarthritis cartilage outcomes imaging epidemiology therapy ultrasound deep learning artificial intelligence

About

Jacob Jaremko is a pediatric musculoskeletal radiologist, Professor and Canada CIFAR AI 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, use of artificial intelligence to automate image analysis, particularly of ultrasound, and clinical implementation of AI tools.

Research

Medical image analysis using deep learning.

Semi-quantitative and quantitative imaging of arthritis.

Please refer to my NIDUS lab website: https://www.nidusai.ca/ 

And to my personal website: http://www.ualberta.ca/%7Ejjaremko/ 

For my publications, please see Google Scholar:  https://scholar.google.ca/citations?user=QyyhbzYAAAAJ&hl=en