Utilizing artificial intelligence to help improve outcomes for people with heart disease with the goal of a three-year partnership, $ 15 million between Cornell Tech, Cornell Ann S. Bowers College of Computing and Information Science (Cornell Bowers CIS) and NewYork-Presbyterian – with doctors from his medical schools Weill Cornell Medicine and Columbia University Vagelos College of Physicians and Surgeons (Columbia University VP&S).
The Cardiovascular AI Initiative, sponsored by NewYork-Presbyterian, was launched this summer at a conference comprising of about 40 representatives from organizations.
“AI is about to change the outcome of cardiovascular treatment by giving doctors better role models for heart disease,” said Kavita Bala, professor of computer science and dean of Cornell Bowers CIS. “This unique collaboration between leading Cornell’s global experts in machine learning and AI as well as cardiologists and medical professionals from New York-Presbyterian, Weill Cornell Medicine and Columbia has led to new approaches to long-term cardiac care management.”
“NewYork-Presbyterian is pleased to partner with Cornell Tech and Cornell Bowers CIS to apply state-of-the-art technology and generate forecasting information and prevent heart disease for the benefit of our patients,” said Drs. Steven J. Corwin, president and executive director of the organization. senior NewYork-Presbyterian. “With our top doctors around the world from Weill Cornell Medicine and Columbia, we can change the way health care is delivered.”
The alliance seeks to promote treatment for heart failure, as well as predict and prevent heart failure. Researchers from Cornell Tech and Cornell Bowers CIS, along with physicians from Weill Cornell Medicine and Columbia University VP & S, will use AI and machine learning data from NewYork-Presbyterian to test methods that can help doctors predict who will be at risk. of the heart. , inform the care options and arrange services for their patients.
“Technology and technology are changing our world and the way we treat medicine,” said Dr. Nir Uriel, director of coronary heart failure and cardiac transmission at NewYork-Presbyterian, assistant professor of medicine at the Greenberg Division of Cardiology at Weill Cornell. Medicine and professor of medicine in the Division of Cardiology at Columbia University Vagelos College of Physicians and Surgeons. “We look forward to building a bridge in the future of medicine, and using state-of-the-art technology to provide equipment to help patients with heart failure.”
The Cardiovascular AI Initiative develops advanced machine learning techniques to learn and identify the connections between multiple cardiac signals, with the goal of providing accurate information on heart failure and developing care to continue to make informed, informed and therapeutic decisions. rules. It also uses AI methods to analyze raw data from time (EKG) and imaging data.
Deborah Estrin, Robert V. Tishman ’37 Professor of Computer Science, associate at Cornell Tech and professor of health sciences at Cornell Tech, said Deborah Estrin, Professor of Computer Science Robert V. Tishman ’37. Weill Cornell Medicine. “We are delighted to have the opportunity to partner with cardiologists to develop advanced technology in the management of heart failure and other heart problems.”
Researchers and clinicians hope that this data will help answer questions about heart failure, disease, disclosure, risk and treatment, and guide physicians when making decisions about heart changes and left ventricular devices (pumps for patients reaching the end of the heart). failure).
Future research will play a key role in heart failure and disease prognosis, to support early intervention for those with heart disease, and to improve progress and destructive events. Ultimately this will also include informing medical options that may work for the public.
In the introduction, Bala spoke of Cornell’s Radical Collaboration initiative in AI, and key areas in which he views AI – a discipline that Cornell lives close to top US universities – have played a major role in the future.
“We recognized health and medical care as one of the things Cornell contributed to AI,” he said, “so the timing of this agreement would not have been so great. “