Accelerating Adoption of Machine Learning Algorithms at Mass General Brigham

Keith Dreyer, DO, PhD, FACR, FSIIM, Chief Data Science Officer and Chief Executive, Center for Clinical Data Science (CCDS), and Ittai Dayan, MD, Executive Director of Strategy, Research & Clinical Operations, CCDS, Mass General Brigham, and Karen Holzberger, SVP & General Manager, Healthcare Diagnostics, Nuance.  To reduce the high mortality rates associated with ruptured aortic aneurysms, the Center for Clinical Data Science, which is operated jointly by the Massachusetts General Hospital (MGH) and Brigham and Women’s Hospital (BWH) in Boston, produced an AI machine learning algorithm known as “DeepAAA,” to hunt for aortic aneurisms hidden in patient imaging data. In the next couple of years, DeepAAA will be in clinical use across the full infrastructure of MGH and BWH and associated hospitals, and made available to radiologists at other facilities across the country through the AI Marketplace, a one-stop shop on the Cloud for radiologists to review, try, and buy AI algorithms. In this session, Drs. Dreyer, Dayan and Karen detail the fascinating lifecycle of this algorithm, from problem statement all the way to clinical practice and productizing.