http://www.ccai.thevislab.com/ 2026-05-01T09:16:49+00:00 http://www.ccai.thevislab.com/ http://www.ccai.thevislab.com/lib/tpl/prsnl10/images/favicon.ico text/html 2023-06-11T22:13:40+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=contact&rev=1686536020&do=diff Address Center for Clinical Research Informatics (CCRI) Department of Biomedical Informatics 5607 Baum Boulevard, Suite 500 Pittsburgh, PA 15206-3701 Phone: 412-624-5100 Fax: 412-624-5310 text/html 2024-01-09T14:52:45+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=members&rev=1704829965&do=diff Publications * CCAI - Google Scholar profile Members * Shyam Visweswaran, MD, PhD, Department of Biomedical Informatics - Scholar * Kayhan Batmanghelich, PhD, Department of Electrical and Computer Engineering, Boston University - Scholar * Parthasarathy D Thirumala, MD, Department of Neurological Surgery - Scholar * Harry Hochheiser, PhD, Department of Biomedical Informatics - text/html 2023-10-25T14:54:58+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=neptune&rev=1698260098&do=diff Neptune Introduction Neptune is a research data warehouse that has been established to provide electronic medical record and research data for clinical and translational research and for national data marts. Neptune is updated monthly and currently contains the following data: * text/html 2023-11-24T17:34:05+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=presentations&rev=1700865245&do=diff Presentations and posters See Google Scholar for recent papers. 2023 * Walker LW, Norwalk AJ, Visweswaran S. Machine learning model interpretation tools reveal sub-populations with differing predictors in a clinical prediction model. In: AMIA 2023 Informatics Summit. 2023 Mar 13. ( text/html 2023-10-25T14:50:22+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=projects&rev=1698259822&do=diff Projects Developing a Learning Electronic Medical Record (LEMR) system Electronic medical records (EMRs) are capturing increasing amounts of patient data that can be leveraged by machine-learning methods for computerized decision support. This project focuses on the development of intelligent EMRs that contain adaptive and learning components to provide decision support using the right data, at the right time. text/html 2023-06-11T22:13:40+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=resources&rev=1686536020&do=diff Resources Research Electronic Data Capture Electronic capture of research data is support by the REDCap platform that is a secure, reliable, versatile and HIPAA compliant database for storing research data. Users can design their own research data capture forms and can export analysis-ready datasets in a variety of formats. text/html 2023-06-11T22:13:40+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=seminar&rev=1686536020&do=diff Machine Learning in Medicine Seminar Medicine is complex and data-driven and discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in … text/html 2024-01-18T11:45:52+00:00 Anonymous (anonymous@undisclosed.example.com) http://www.ccai.thevislab.com/doku.php?id=start&rev=1705596352&do=diff Center for Clinical Artificial Intelligence (CCAI) The Center for Clinical Artificial Intelligence (CCAI) focuses on developing, implementing, and evaluating high-performance clinical decision support (CDS) tools that are powered by artificial intelligence (AI), including machine learning. AI has the potential to support, enable, and improve medical decision-making to make it faster, more accurate, and more economical. The next generation of CDS will be powered by AI-enabled predicting, monit…