AI-ECG in clinical medicine part 2: Challenges with effective integration of AI into clinical workflow
Speakers
In this American College of Cardiology webinar, Dr. Elias and Dr. Maganti go over the challenges of effective integration of AI into clinical workflow
Pierre Adil Elias, MD
Pierre Elias is an Assistant Professor in the Division of Cardiology and the Department of Biomedical Informatics at Columbia University Irving Medical Center, where he practices as a general cardiologist. He is also the Medical Director for Artificial Intelligence at New York-Presbyterian. His research lab develops machine learning technologies for medical imaging to improve the detection and management of cardiovascular disease.
Dr. Elias received his medical degree at Duke University School of Medicine in North Carolina. He completed his residency in Internal Medicine and fellowship in Cardiovascular Disease at New York-Presbyterian/Columbia University Irving Medical Center through the Clinician-Scientist Pathway. He has been named a STAT News Wunderkind highlighting 20 of the most innovative junior researchers in the country and has received the Emerging Generation Award from the American Society of Clinical Investigation. He was previously a data scientist at Lumiata, helping develop Google’s Knowledge Graph for Health.
Dr. Kameswari Maganti
Dr. Kameswari (Kamu) Maganti is a Professor in the Division of Cardiovascular Disease, Department of Medicine, Rutgers Robert Wood Johnson Medical School (RWJMS). Dr. Maganti also serves as Section Chief, Non-Invasive Cardiology and Director of the Echocardiography Laboratory at Robert Wood Johnson University Hospital. Prior to her appointments at RWJUH and RWJMS, Dr. Maganti served in numerous professorship and directorship positions in cardiovascular imaging, echocardiography, multimodality imaging, cardiac rehabilitation from both academic and hospital appointments.
