Dan Byrne is an expert at artificial intelligence in healthcare. He has more than 35 years of experience building AI tools and predictive models in healthcare, and then testing in rigorous randomized controlled trials whether they improve health outcomes. His Cornelius team has created more than 25 AI and predictive tools, which are now being tested in the electronic health record. Based on his experience and research he has specific knowledge and practical skills regarding how to successfully implement AI in healthcare.
He is an excellent teacher who has won numerous teaching awards for his graduate courses at Vanderbilt including "Biostatistics I" and "Medical Writing for Clinical Investigators". Previously he has also taught these courses in Japan. His newest course will be offered both online and in person - "Artificial Intelligence in Healthcare".
Dan is author of the award winning book "Publishing Your Medical Research" and more than 130 academic papers. Currently, he works on Vanderbilt's CTSA (VICTR) grant helping investigators with pragmatic trials in the Learning Healthcare System workshops. His primary faculty appointment is in the Department of Biostatistics and secondary appointments in the Departments of Medicine and Biomedical Informatics. By working with these departments and also Vanderbilt's Health & Wellness group and the Vanderbilt Quality, Safety and Risk Prevention group, he has been able to create unique bridges and teamwork required for successful implementation of AI in healthcare.
Dan Byrne received his undergraduate training from the State University of New York at Albany with a degree in Biology and Computer Science and his graduate degree in Biostatistics from New York Medical College.
Before coming to Vanderbilt in 1999, he founded and ran a successful predictive analytics startup for 10 years - Byrne Research (in Ridgefield, CT).
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