Leveraging AI to improve NF1 patient care: Comparing clinical entity extraction methods

A new study published in the Journal of the American Medical Informatics Association (JAMIA) showcases how modern AI methods are advancing clinical and translational research in Neurofibromatosis type 1 (NF1). Conducted by Levi Kaster, BS, Ethan Hillis, MS, Inez Y. Oh, PhD, Elizabeth C. Cordell, MD, Randi E. Foraker, PhD, MA, Albert M. Lai, PhD, Stephanie M. Morris, PhD, David H. Gutmann, MD, PhD, Philip R. O. Payne, PhD, and Aditi Gupta, PhD, the research aims to extract valuable insights from unstructured clinical data to improve NF1 patient care.