Machine Learning in the Healthcare Enterprise
Machine learning is an emerging technology with promise to impact a wide variety of areas throughout the healthcare enterprise. In this discussion, we’ll review advances in machine learning and their potential impact on several areas of healthcare, with special focus in diagnostic areas. In addition, we’ll discuss some of the challenges and approaches that have been taken to translate this technology at the Partners organization.
Mark H. Michalski, MD, is the Executive Director of the MGH & BWH Center for Clinical Data Science, which is focused on the application and translation of novel machine learning techniques into clinical practice. Previous to this role, Dr. Michalski held leadership and operational roles at early-stage companies in the medical software and device domain, including Butterfly Network and Hyperfine Research. Dr. Michalski held additional strategic roles in healthcare-focused efforts at Google and Genentech. Dr. Michalski completed his radiology residency training as a Holman Fellow at Yale-New Haven Hospital. He graduated with a degree in Cybernetics from the University of California at Los Angeles with multiple honors and received his medical degree from Stanford University.