Current Areas of Exploration in Artificial Intelligence Cedars-Sinai Skip to content Close Select your preferred language English عربى 简体中文 繁體中文 فارسي עִברִית 日本語 한국어 Русский Español Tagalog English English عربى 简体中文 繁體中文 فارسي עִברִית 日本語 한국어 Русский Español Tagalog Translation is unavailable for Internet Explorer Cedars-Sinai Home 1-800-CEDARS-1 1-800-CEDARS-1 Close Find a Doctor Locations Programs & Services Health Library Patient & Visitors Community My CS-Link RESEARCH clear Go Close Navigation Links Academics Faculty Development Community Engagement Calendar Research Research Areas Research Labs Departments & Institutes Find Clinical Trials Research Cores Research Administration Basic Science Research Clinical & Translational Research Center (CTRC) Technology & Innovations News & Breakthroughs Education Graduate Medical Education Continuing Medical Education Graduate School of Biomedical Sciences Professional Training Programs Medical Students Campus Life Office of the Dean Simulation Center Medical Library Program in the History of Medicine About Us All Education Programs Departments & Institutes Faculty Directory Artificial Intelligence in Medicine Back to Artificial Intelligence in Medicine Current Research Faculty News & Publications Current Areas of Exploration in Artificial Intelligence Researchers perform cutting-edge cellular, genomic and medical analysis of waveforms and multimedia emerging from the learning healthcare system. Chugh Laboratory The Chugh Laboratory at the Smidt Heart Institute focuses on arrhythmia research. We investigate mechanisms of ventricular arrhythmias with a view to improve prediction, prevention and management of sudden cardiac arrest. The Chugh Laboratory is affiliated with the Smidt Heart Institute and Department of Medicine. Learn More Slomka Laboratory Current research in the Slomka Laboratory focuses on developing innovative methods for fully automated analysis of cardiac imaging data using novel algorithms and machine-learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computerized tomography (CT) and CT angiography imaging. Research in the Slomka Laboratory is supported by the National Heart, Lung, and Blood Institute at the National Institutes of Health (NIH). The resources include large ( > 40,000 cases) multisite international registry of cardiac imaging SPECT data (REFINE SPECT). Learn More Zhang Laboratory The Zhang lab develops automated deep learning methods to accommodate the rapid biotechnology development with modern deep learning. These automated, data-driven models help us understand the causal effects of genetic variations in various contexts, including epigenetics, transcription, post-transcriptional regulation, genome editing, and in disease areas such as tumors. In the long term, we hope our methods will democratize deep learning and thereby accelerate scientific discoveries in biomedicine. Learn More Clinical Data Lake and Data Warehouse The Cedars-Sinai Clinical Data Lake and Data Warehouse is deep, data rich and one of the most research-ready data repositories of its kind. Containing more than a decade of medical data, it seamlessly brings together multiple internal and external data sources to provide researchers with access to approximately 50 million encounters for over 5 million patients. The Enterprise Data Intelligence team at Cedars-Sinai works closely with researchers and clinicians to provide a wealth of knowledge about patients, their medical conditions and their outcomes. Clinical Data Lake and Data Warehouse Document (PDF) Have Questions or Need Help Pavilion, Suite 3100 127 S. San Vicente Blvd. Los Angeles, CA 90048 Maria Mirzakhanyan Project Coordinator 310-423-1206 SEND A MESSAGE Please ensure Javascript is enabled for purposes of website accessibility