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

The GPT-4o model provides an effective solution for the automatic extraction of PE diagnoses from radiology reports, offering a reliable tool that aids timely and accurate clinical decision-making. This approach has the potential to significantly improve patient outcomes by expediting diagnosis and treatment pathways for critical conditions like PE.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-04-09
DOI
https://doi.org/10.2196/67706
Citations
4
Primary Topic
Venous Thromboembolism Diagnosis and Management
Type
article
Field-Weighted Citation Impact
7.48
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article

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

Ajit Shukla, Kacie Dougherty, Mohammed A. Mahyoub
4 citations
JMIR Medical Informatics
Venous Thromboembolism Diagnosis and Management
7.48
article

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

Ajit Shukla, Kacie Dougherty, Mohammed A. Mahyoub
article en
4 citations

Abstract

The GPT-4o model provides an effective solution for the automatic extraction of PE diagnoses from radiology reports, offering a reliable tool that aids timely and accurate clinical decision-making. This approach has the potential to significantly improve patient outcomes by expediting diagnosis and treatment pathways for critical conditions like PE.

JMIR Medical InformaticsVol. 13
Binghamton University (US), Virtua Health (US)
Good health and well-being
Openalex Percentile: Top 3%
Venous Thromboembolism Diagnosis and Management
7.48
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