The Use of Artificial Intelligence and Clinical Prediction Models to Detect Sleep Apnea in Cardiac Patients.

About the Presenter:

Dr. Ram Verma is triple board-certified in sleep medicine, internal medicine, and obesity medicine. He is a pioneering figure in the field of sleep medicine and an advocate for using newer technologies in the field of sleep medicine to diagnose and manage sleep disorders in this era of artificial intelligence. He strongly believes that a good quality of sleep is very crucial for overall health. His TEDx talk on ‘Quantity vs Quality Sleep’ sleep emphasizes the characteristics of quality sleep that significantly reduce the risk of heart attack and stroke.

AI brings new opportunities for us to live healthier and longer with advanced monitoring of physiological data. There is a need to develop clinical prediction models, which can improve the overall health outcome in cardiovascular patients. With several years of clinical and research experience, Dr. Verma is very enthusiastic about collaborating with researchers and AI engineers to develop clinical prediction models that may save many lives. He has published multiple papers related to sleep disorders, which may play a very important role in developing multiple clinical prediction models.