About Dr. James Thomas
James D. Thomas, MD, is a cardiologist at Northwestern Medicine with a clinical focus in valvular heart disease and echocardiography and extensive research into applying physical principles and advanced technology in cardiovascular imaging.
He now serves as Director for the Center for Heart Valve Disease and Academic Affairs in the Bluhm Cardiovascular Institute and co-directs the Center for Artificial Intelligence in Cardiovascular Disease while serving as Professor of Medicine at Northwestern University Feinberg School of Medicine.
The Bluhm Cardiovascular Institute is also pioneering the use of a digital stethoscope that uses AI algorithms to accurately interpret heart sounds to help screen for heart murmurs and valvular heart disease. Sounds like a winner Doc Response: … (The basic stethoscope design hasn’t changed in 200 years, so it’s due for an upgrade. Initial work, recently published, demonstrated that it could identify 93% of patients with severe aortic stenosis. This new AI-platform could be a more reliable, low-cost way to identify patients with heart disease.)
Another initiative within the Bluhm Cardiovascular Institute Center for Artificial Intelligence in Cardiovascular Medicine is a unique collaboration with Northwestern University computer scientists centered on deep-learning techniques. In a first-of-its-kind intensive Masters-level fellowship, trainees in cardiology and cardiac surgery learn the tools and techniques of AI programming and apply this methodology to heart disease. These unique doctors aim to be the leaders in this rapidly evolving field.
For more information, please visit www.nm.org/radio
Recommended by Dr. Jim Thomas – Director for the Center for Heart Valve Disease and Academic Affairs in the Bluhm Cardiovascular Institute at Northwestern Medicine.
The Institute for Augmented Intelligence Medicine
https://www.feinberg.northwestern.edu/sites/augmented-intelligence/
The mission of the Institute for Augmented Intelligence in Medicine is to bridge computational methods with human expertise to advance medical science and improve human health.
We explore the application of machine learning, artificial intelligence, pattern recognition, genetic analysis and deep phenotyping of health data to build useful, responsible tools that put people first.
Abel Kho, MD, MS, FACMI, Director, Institute for Augmented Intelligence in Medicine
