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 Jaremko is a Professor of Radiology and Adjunct Professor of Computing Science at the University of Alberta, a practicing board-certified Pediatric and Musculoskeletal radiologist and partner at Medical Imaging Consultants, and co-founder of 3 startup companies, including MEDO.ai.  He has a PhD in Biomedical Engineering.  He is a Canada CIFAR AI Chair and Fellow of the Alberta Machine Intelligence Institute. His research has focused on developing objective imaging medical imaging diagnostic tools at the clinical point of care -- building the 21st-century stethoscope. biomarkers of disease in ultrasound and MRI, and on implementing AI-augmented.