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

AI Language Models in Health Care (172) Artificial Intelligence (2018) Natural Language Processing (877) Decision Support for Health Professionals (1487) Machine Learning (1997) Imaging Informatics (287) Respiratory Medicine (146)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67706, first published .
Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study

Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study

Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study

Authors of this article:

Mohammed Mahyoub1, 2 Author Orcid Image ;   Kacie Dougherty1 Author Orcid Image ;   Ajit Shukla1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Urda-Cîmpean A, Leucuța D, Drugan C, Duțu A, Călinici T, Drugan T. Assessing the Accuracy of Diagnostic Capabilities of Large Language Models. Diagnostics 2025;15(13):1657 View
  2. Sorin V, Collins J, Bratt A, Kusmirek J, Mugu V, Kline T, Butler C, Wood N, Cook C, Korfiatis P. Evaluating prompt and data perturbation sensitivity in large language models for radiology reports classification. JAMIA Open 2025;8(4) View