Collaboration will advance heart health

ITHACA, NY — Using artificial intelligence to improve outcomes for people with cardiovascular disease is the focus of a three-year, $15 million collaboration between Cornell Tech, Cornell Ann S. Bowers College of Computing and Information Science (Cornell Bowers CIS) and NewYork-Presbyterian – with physicians from its affiliated medical schools Weill Cornell Medicine and Columbia University Vagelos College of Physicians and Surgeons (Columbia University VP&S).

The Cardiovascular AI initiative, which will be funded by NewYork-Presbyterian, was launched this summer in a virtual meeting of approximately 40 institutional representatives.

“AI is poised to fundamentally transform cardiovascular healthcare outcomes by providing physicians with better models for diagnosing and predicting heart disease risk,” said Kavita Bala, professor of computer science and dean of Cornell. Bowers CIS. “This unique collaboration between Cornell’s global experts in machine learning and artificial intelligence and exceptional cardiologists and clinicians from NewYork-Presbyterian, Weill Cornell Medicine and Columbia will drive this next wave of innovation for lasting impact in healthcare. cardiovascular.

“NewYork-Presbyterian is thrilled to partner with Cornell Tech and Cornell Bowers CIS to harness cutting-edge technology and expand insights into the prediction and prevention of heart disease for the benefit of our patients,” said Dr. Steven J. Corwin, President and CEO. Officer of NewYork-Presbyterian. “Together with our world-class physicians at Weill Cornell Medicine and Columbia, we can transform the way health care is delivered.”

The collaboration aims to improve the treatment of heart failure, as well as to predict and prevent heart failure. Researchers from Cornell Tech and Cornell Bowers CIS, along with physicians from Weill Cornell Medicine and Columbia University’s VP&S, will use AI and machine learning to examine NewYork-Presbyterian data with the aim of detect patterns that will help doctors predict who will develop heart failure, inform care decisions, and tailor treatments to their patients.

“Artificial intelligence and technology are changing our society and the way we practice medicine,” said Dr. Nir Uriel, director of advanced heart failure and heart transplantation 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 to the future of medicine and using cutting-edge technology to provide tools to improve care for our heart failure patients.”

The Cardiovascular AI Initiative will develop advanced machine learning techniques to learn and discover interactions across a wide range of cardiac signals, with the goal of improving the accuracy of heart failure recognition and expanding the state of care beyond current, codified, clinical decision-making. rules. It will also use AI techniques to analyze raw data from time series (ECG) and imaging data.

“Major algorithmic advances are needed to obtain accurate and reliable clinical insights from complex medical data,” said Deborah Estrin, Robert V. Tishman ’37 Professor of Computer Science, Associate Dean for Impact at Cornell Tech and Professor in Population Health Sciences at Weill Cornell Medicine. “We are excited about the opportunity to partner with leading cardiologists to advance the state of the art in the management of heart failure and other challenging cardiovascular conditions.”

Researchers and clinicians expect the data to help answer questions about the prediction, diagnosis, prognosis, risk and treatment of heart failure, and to guide doctors when making decisions about heart transplants and left ventricular assist devices (pumps for terminally ill patients).

Future research will tackle the important task of heart failure and disease prediction, to facilitate early intervention for those most likely to suffer from heart failure and to anticipate progression and damaging events. . Ultimately, this would also include informing the specific treatment decisions most likely to work for individuals.

At the initiative’s launch, Bala spoke about Cornell’s Radical Collaboration initiative in AI and the key areas where she sees AI – a discipline in which Cornell ranks among America’s top universities – playing a role. major role in the future.

“We’ve identified healthcare and medicine as one of Cornell’s key areas of impact in AI,” she said, “so the timing of this collaboration couldn’t have been more perfect. We are excited about this partnership as we consider high risk, high reward and long term impact in this space.


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