AI can help COVID-19 clinical decision making, Feinstein Institutes' research shows

AI can help COVID-19 clinical decision making, Feinstein Institutes' research shows

Press releases may be edited for formatting or style | July 13, 2020 Artificial Intelligence

ML can also assist health care providers with the most emotionally difficult conversations with patients and their families: goals of care. By providing an objective measure of survival, ML methods can offer clinicians, patients, and their families’ essential information in this shared decision process. The ultimate goal of any model is to maximize patient outcomes for the greatest number of patients within an acceptable ethical framework.

“With abundant electronic medical data, evidence-based prediction tools can facilitate medical decision making during challenging times,” said Kevin J. Tracey, MD, president and CEO of the Feinstein Institutes. “Dr. Zanos’ work is helping to identify opportunities for the use of AI in this context, validate and harness important data to fight COVID-19.”

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About the Feinstein Institutes
The Feinstein Institutes for Medical Research is the research arm of Northwell Health, the largest health care provider and private employer in New York State. Home to 50 research labs, 3,000 clinical research studies and 5,000 researchers and staff, the Feinstein Institutes raises the standard of medical innovation through its five institutes of behavioral science, bioelectronic medicine, cancer, health innovations and outcomes, and molecular medicine. We make breakthroughs in genetics, oncology, brain research, mental health, autoimmunity, and are the global scientific leader in bioelectronic medicine – a new field of science that has the potential to revolutionize medicine

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