AI for Healthcare and Medicine
Faculty
- Courant Institute: Kyunghyun Cho, Sumit Chopra, Carlos Fernandez-Granda, Rajesh Ranganath, Lakshminarayanan Subramanian;
- NYU Grossman School of Medicine: Yindalon Aphinyanaphongs, Saul Blecker, Sumit Chopra, Krzysztof Geras, Seth Gross, Leora Horwitz, Florian Knoll, Yvonne Lui, Charles Marmar, Nargez Razavian, Daniel Sodickson, Aristotelis Tsirigos;
- School of Global Public Health: Rumi Chunara, Joshua Epstein;
- Tandon School of Engineering: Rumi Chunara, Guido Gerig, Daniel Sodickson;
- Center for Data Science: Kyunghyun Cho, Carlos Fernandez-Granda, Rajesh Ranganath;
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Center for Advanced Imaging Innovation and Research
The Center for Advanced Imaging Innovation and Research, or CAI2R (pronounced care), is a Biomedical Technology Resource Center funded by the The National Institute of Biomedical Imaging and Bioengineering (NIBIB) at National Institutes of Health, and operated by the Department of Radiology at NYU Langone Health.
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Center for Healthcare Innovation and Delivery Science
The Center for Healthcare Innovation and Delivery Science (CHIDS) is a group of clinicians, researchers, educators, and administrators who work together to redesign healthcare. Our mission is to improve patient health and wellbeing by fostering the development of effective, efficient, and patient-centered healthcare systems at NYU Langone Health and nationally.
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Computational Intelligence, Learning, Vision, and Robotics (CILVR)
The CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) regroups faculty members, research scientists, postdocs, and students working on AI, machine learning, and a wide variety of applications, notably computer perception, natural language understanding, robotics, and healthcare.
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Visualization Imaging and Data Analysis Center
The Visualization and Data Analytics Research Center at NYU consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data sources and data types demand.
