Since 2011 my research centered on adult/pediatric musculoskeletal radiology, particularly the influence of anatomy and childhood development of joints on the development of adult morbidity such as premature osteoarthritis. Through my work on diagnosis and management of infant hip dysplasia, I became interested in technological advances that extend the reach of ultrasound: 3D ultrasound, and artificial intelligence ultrasound image analysis. Our work is under the umbrella of the Northern Institute for Deep Learning in Ultrasound (NIDUS). With increasingly mature imaging AI technologies increasingly becoming adopted clinically, our group is currently focused on advancing and studying the implementation of AI tools at the point of care, particularly in ultrasound and MRI.
The combination of artificial intelligence and handheld portable ultrasound represents a powerful tool to bring advanced medical imaging to the point of care, as the 21st century stethoscope. I explain all about it in this podcast.