Frank Preiswerk, PhD, of the Department of Radiology, earned the Second Best Abstract Award at the 2018 International Workshop on Osteoarthritis Imaging (IWOAI) for his work on detection of bone marrow lesion (BML) segmentation using deep learning, a subset of artificial intelligence and machine learning.
Preiswerk’s project examined whether an advanced computer algorithm could identify BML segmentation as accurately as experienced radiologists – ultimately finding that both methods were nearly equivalent. Preiswerk and his team noted that, given the time and resources necessary for a human reader to analyze these scans, deep learning could yield substantial time and cost savings.
A computer scientist by training, Preiswerk’s broader research focus looks at how machine learning algorithms can be used to improve medical imaging and medical image analysis.
The IWOAI provides opportunities for osteoarthritis investigators to discuss issues related to imaging of osteoarthritis.