Revisiting Deep Learner: Building AI to Improve Cardiovascular Care
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Revisiting Deep Learner: Building AI to Improve Cardiovascular Care
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In this episode from the Advances in Care archives, Dr. Pierre Elias sits down with Catherine Price to talk about how utilizing technologies like artificial intelligence and machine learning can help diagnose patients even before symptoms develop, and support doctors by freeing them up to focus on providing personalized care to their patients. They discuss navigating bias in both artificial intelligence and clinical care, and how new technology will improve the future of medicine.
Since this episode aired, Dr. Elias and his collaborators expanded their research involving AI and cardiac care, developing tools for detecting mitral regurgitation and heart failure.
Additionally, a team at NewYork-Presbyterian and Columbia used AI as a fertility treatment for azoospermia, and NewYork-Presbyterian deepened its commitment to developing applications of AI in medicine through a $2 billion campaign to invest in talent and technology.
For more information visit nyp.org/Advances