The two-year collaboration will develop algorithms to identify patients with early cognitive decline via EHRs and design a clinical decision-support system to provide personalized care recommendations.
“This study is a critical step in our mission to improve the lives of those affected by Alzheimer’s disease and related dementia,” said lead researcher Li Zhou, PhD, of Brigham and Women’s Hospital, in a Feb. 16 new release. “Using deep-learning algorithms and electronic health records can revolutionize how we approach early detection and intervention.”
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
