Jacob believes that by combining AI with handheld portable ultrasound, we can develop the 21st century stethoscope, transforming medical imaging at the point of care.

A new stethoscope

Jacob Jaremko’s research focuses on adult and pediatric musculoskeletal radiology and on leveraging artificial intelligence for medical image analysis - especially in the area of 3D ultrasound. In recent years, he has worked on advancing ultrasound image acquisition and analysis and on quantifying abnormalities seen in medical images. Increasingly, he has been using machine learning for these tasks with an eye on the associated issues of data privacy and ethics. Currently, he seeks to bring together interdisciplinary teams of computing scientists, clinicians, health service organizations, academic institutions and industry partners to develop effective, relevant medical imaging AI. Working in the area of ultrasound, Jacob seeks to reduce barriers to the widespread adoption of ultrasound through employing AI image analysis to transform point-of-care medicine. Jacob believes that by combining AI with handheld portable ultrasound, that ultrasound could become the 21st century stethoscope.

Jacob is a Fellow and Canada CIFAR AI Chair at Amii and an Associate Professor of Radiology in the University of Alberta’s Faculty of Medicine. He is also Co-Founder and Clinical Strategist for MEDO.ai, a startup company using artificial intelligence to interpret point of care ultrasound. He is a Canadian and US board-certified practicing radiologist and partner in MIC Medical Imaging. He has produced more than 190 publications, including journal articles, book chapters and conference publications. He has also had editorial roles with the Journal for the Society for Pediatric Radiology, the European Radiology Journal and the PLOS One Journal. Since taking on his faculty position at UAlberta in 2013, he has supervised 14 students at the Bachelor’s, Master’s, and Post-doctoral level. Jacob also holds two patents related to his work at MEDO.ai.