
About
Alex K. Bratt, M.D., is a Professor and Radiologist at Mayo Clinic in Rochester, Minnesota, specializing in Thoracic Radiology. He holds leadership roles including Medical Director of Midwest Radiology Informatics Operations and Co-Chair of Visage Run Org. His academic training includes a Thoracic Radiology Fellowship at Stanford University Medical Center (2019), residency at New York-Presbyterian/Weill Cornell Medical Center (2018), and an MD from Columbia University (2013). He earned a B.S. in Bioengineering from the University of Washington (2009) with Magna cum laude distinction.
Dr. Bratt's research focuses on artificial intelligence (AI) in medical imaging, particularly thoracic and cardiovascular applications. He pioneered projects like deep learning models for prostate cancer detection and aortic flow quantification. His work emphasizes practical integration of AI into radiology education and clinical practice.
He has received accolades such as the Society of Thoracic Radiology’s Best Junior Faculty Scientific Presentation (2020) and the American College of Cardiology Echo Highlights (2019). His professional roles include leading AI subcommittees, informatics innovation groups, and radiology training programs. Dr. Bratt’s academic contributions span over 15 peer-reviewed publications since 2011, addressing topics from genetic stroke factors to machine learning-driven imaging analysis.
His current initiatives include advancing photon-counting CT in thoracic imaging, improving interstitial lung disease classification via machine learning, and optimizing AI tools for non-data-scientists in radiology education.
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