This paper is in the following e-collection/theme issue:

Machine Learning (1465) Clinical Informatics (1022) Natural Language Processing (692) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Artificial Intelligence (1371)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49886, first published .
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

Authors of this article:

Thomas Savage1 Author Orcid Image ;   John Wang2 Author Orcid Image ;   Lisa Shieh1 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Templin T, Perez M, Sylvia S, Leek J, Sinnott-Armstrong N, Silva J. Addressing 6 challenges in generative AI for digital health: A scoping review. PLOS Digital Health 2024;3(5):e0000503 View
  2. Shah-Mohammadi F, Finkelstein J. Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department. Diagnostics 2024;14(16):1779 View
  3. Bedi S, Liu Y, Orr-Ewing L, Dash D, Koyejo S, Callahan A, Fries J, Wornow M, Swaminathan A, Lehmann L, Hong H, Kashyap M, Chaurasia A, Shah N, Singh K, Tazbaz T, Milstein A, Pfeffer M, Shah N. Testing and Evaluation of Health Care Applications of Large Language Models. JAMA 2024 View
  4. Dev S, Zolensky A, Aridi H, Kelty C, Madison M, Motaganahalli A, Brooke B, Dixon B, Boustani M, Ben Miled Z, Zhang P, Gonzalez A. Use of Deep Learning to Identify Peripheral Arterial Disease Cases From Narrative Clinical Notes. Journal of Surgical Research 2024;303:699 View