Data Citizens Distinguished Lecture Series presents Dr. Joel Saltz…
Join us for a “Data Citizens: A Distinguished Lecture Series” talk on health-related AI methods by Joel Saltz, MD, PhD, Cherith Professor and Founding Chair, Stony Brook University, Department of Biomedical Informatics. Dr. Saltz’s work involves high-end and data-intensive computing, applications of machine learning and AI, pathology informatics, large-scale data analytics, and clinical informatics.
At SUNY, Dr. Saltz also serves as the Vice Chair for Laboratory Initiatives and Digital Medicine in the Department of Pathology; Vice President for Clinical Informatics, Stony Brook Medicine; Associate Director, Stony Brook Cancer Center; and Director of the Institute for Engineering Medicine.
Register Now | Monday 2/13, 3:30-4:30 PM
Via ZOOM or in person: University of Miami, Division of Continuing and International Education
Allen Hall Room 209, 5050 Brunson Drive, Coral Gables, FL 33146
TALK TITLE: “Artificial Intelligence, Multi-Modal Analysis, Digital Health, and Clinical Informatics”
This talk will survey rapidly emerging health-related artificial intelligence methods, AI-driven clinical informatics projects and end with a description of how health AI applications can be used to spur Computer Science research.
Dr. Saltz will describe the evolution of AI methods that simultaneously analyze many types of complementary information to guide medical and population health decision-making and to create new predictive biomarkers. One key component of these methods lies in the development of methods that are able to resolve image data—Radiology, Pathology, and geospatial—into meaningfully labeled objects. Dr. Saltz will also describe progress made in this area and the application of these methods in the context of clinical data analyses.
In addition, Dr. Saltz will discuss a number of AI-driven clinical informatics efforts: these encompass analysis and modeling of human attention patterns in Pathology image interpretation, aortic aneurysm detection and management, prediction of health system patient flow and emergency department congestion, algorithms to predict hospital readmission, and the development of methods for normalizing data in multi-million patient real word data studies.
Finally, Dr. Saltz will address the use of digital health and biomedical informatics challenges as driving applications that can spur innovative computer science research, and he will discuss how to build synergistic multi-disciplinary teams.
About Joel Saltz, MD, PhD
Dr. Joel Saltz is a leader in research on advanced information technologies for large scale data science and biomedical/scientific research. He has developed innovative pathology informatics methods, including: the first published whole slide virtual microscope system; pioneering pathology computer-aided diagnosis techniques; and methods for decomposing pathology images into features and linking those features to cancer “omics”, response to treatment and outcome.
He has broken new ground in big data through development of the filter-stream based DataCutter system, the map-reduce style Active Data Repository and the inspector-executor runtime compiler framework. He has also been an active contributor in clinical informatics, having developed predictive models for hospital readmissions, point of care laboratory testing quality assurance systems, decision support systems for electrophoresis interpretation and graphical user interfaces to support clinical data warehouse queries.
Dr. Saltz has been a pioneer in establishing the field of biomedical informatics; he founded and built two highly successful departments of biomedical informatics, one at Ohio State University and one at Emory University. In 2013, he came to Stony Brook as Vice President for Clinical Informatics and Founding Department Chair of Biomedical Informatics—to create a living laboratory for biomedical informatics and to create a third unique biomedical informatics department dually housed in the School of Medicine and the College of Engineering.
Dr. Saltz is trained both as a computer scientist and as a physician through the MSTP program at Duke University. He has deep experience in computer science, having served on the computer science faculties at Yale University and the University of Maryland. He completed his residency in clinical pathology at Johns Hopkins University and he is a practicing, board-certified clinical pathologist.
Read more about Dr. Saltz’s research. . .
About Data Citizens
Data Citizens: A Distinguished Lecture Series is an ongoing course of in-depth talks by experts in the field of data science on a wide variety of topics including data visualization, big data, AI, and predictive analytics. The Data Citizens lecture series is co-sponsored by the Miami Clinical and Translational Science Institute (CTSI) and is free and open to the public.
