Michael Kann is a second year medical student at University of Pittsburgh School of Medicine. Before attending medical school, Michael graduated from Vanderbilt University with degrees in Biomedical Engineering, Mathematics, and Economics as well as spent time working as a biopharmaceutical and biotech consultant. He is in interested in exploring the potential of recent advancements in extended reality platforms, artificial intelligence, and machine learning to enhance surgical precision, education, and patient outcomes. In his free time, Michael enjoys to run, bike, hike, play tennis, and spend time with friends and family.
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading
Nickolas Littlefield, Soheyla Amirian, Jacob Biehl, Edward Andrews, Michael Kann, Nicole Myers, Leah Reid, Adolph J Yates Jr, Brian J McGrory, Bambang Parmanto, Thorsten M Seyler, Johannes F Plate, Hooman H Rashidi, Ahmad P Tafti
Journal of the American Medical Informatics Association, 2024
Machine Learning Analysis of CT Scans to Determine Vertebral Hounsfield Units Can Assess Osteoporosis as well as DEXA