Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53367, first published .
Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

Journals

  1. McMurry A, Gottlieb D, Miller T, Jones J, Atreja A, Crago J, Desai P, Dixon B, Garber M, Ignatov V, Kirchner L, Payne P, Saldanha A, Shankar P, Solad Y, Sprouse E, Terry M, Wilcox A, Mandl K. Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. Journal of the American Medical Informatics Association 2024;31(8):1638 View
  2. Berikol G, Kanbakan A, Ilhan B, Doğanay F. Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education. Turkish Journal of Emergency Medicine 2025;25(2):67 View
  3. Ojemann W, Xie K, Liu K, Chang E, Roth D, Litt B, Ellis C. Zero-Shot Extraction of Seizure Outcomes from Clinical Notes Using Generative Pretrained Transformers. Journal of Healthcare Informatics Research 2025 View
  4. Agyei-Manu E, Atkins N, Nundy M, St-Jean C, Gornall-Wick A, Birley E, De Silva U, Krishan P, Vokey L, Dozier M, McSwiggan E, McQuillan R, Theodoratou E, Shi T. Characteristics of influenza, SARS-CoV-2, and RSV surveillance systems that utilise ICD-coded data: a systematic review. Journal of Global Health 2025;15 View