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BrainX Community Live! July 2022: AI applications in Echocardiography

Featured Speakers: Avirup Guha, MD; Partho P Sengupta, MD; Christopher Troianos MD; David Ouyang MD

13 July, 2022

Watch the video of this event on our YouTube channel.


 Avirup Guha


Dr. Avirup Guha is a funded physician-scientist who has dedicated his clinical and research work to the emerging field of cardio-oncology. He is the current director of cardio-oncology at Medical College of Georgia. He completed his cardiology fellowship at the Ohio State University. He is board certified in cardiology, echocardiography, cardiac CT and cardio-oncology. Dr Guha codes in python and he created the CardioOnc_bot to spread cardiooncology education through twitter. Dr. Guha is also a consultant to BrainX and has co-authored AI year in reviews over the past many years. To learn more about his research visit:

Partho P. Sengupta


Dr. Partho P. Sengupta is the Henry Rutgers Professor and the Chief of Division of Cardiology at Rutgers Robert Wood Johnson Medical School & University Hospital. Dr. Sengupta completed his clinical residency and cardiology fellowship from Mayo Clinic Rochester and Arizona respectively. He has over 250 peer-reviewed publications. He is an Associate Editor for the Journal of American College of Cardiology: Imaging and has served as a Board of Director for the American Society of Echo and as the Chair of the ASE Telehealth and New Technology Taskforce. He has won several excellence awards including ASE's Young Investigator Award in 2004, Mayo Clinic Research Award in 2007, Mayo Brother's Distinguished Fellowship Award in 2009, AACIO Young Investigator Award in 2010, and ASE's Rich Popp Award for excellence in Teaching in 2020. He also received ASE's 14th Feigenbaum Lecturership for recognizing his significant contributions to research in the field of echocardiography. He delivered ASE’s first-ever presentation using hologram technology at ASE's 24th Annual Scientific Sessions. His futuristic ideas, investigative skills, and international work have been widely acclaimed by major media outlets and he was an invited stage speaker for TEDMED 2016. He has been nominated by the American Medical Association for "Inspiration in Medicine" talk for the year 2017.

David Ouyang


David Ouyang is a cardiologist and researcher in the Department of Cardiology and Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center. As a physician-scientist and statistician with focus on cardiology and cardiovascular imaging, he works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. As a clinical echocardiographer, he work on applying deep learning for precision phenotyping in cardiac ultrasound. Additionally, he is interested in multi-modal datasets, linking ECR, echo, and MRI data for a holistic look at cardiovascular disease. He majored in statistics at Rice University, obtained my MD at UCSF, and received post-graduate medical education in internal medicine, cardiology, and a postdoc in computer science and biomedical data science at Stanford University.

Christopher A. Troianos


Christopher A. Troianos, MD, FASE, FASA is Professor and Chair of the Anesthesiology Institute of the Cleveland Clinic and Lerner College of Medicine of Case Western Reserve University. Dr. Troianos has earned a national and international reputation as a cardiac anesthesiologist and echocardiographer. He has authored numerous peer-reviewed publications, two textbooks, and has been an invited speaker to over 240 national and international scientific educational conferences. Dr. Troianos is a past President of the SCA, and currently serves as the President for the National Board of Echocardiography and is the Chair of the American Society of Anesthesiologists’ Section of Professional Practice.


– AI in Echocardiography: An overview.
– Deployment of AI in the Echo Lab
– Panel discussion focused on AI based Echocardiography implementation, impact on education and certification, dynamic perioperative guidance and clinical adoption challenges amongst others.