AI in Patient Care: Evaluating Large Language Model Performance Against Evidence-Based Guidelines for Pulmonary Embolism

AI-driven LLMs show promise in supporting PE management, though none consistently excel in all domains. Further development is needed to enhance clinical integration and guideline compliance.

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Publication Details

Journal
Thoracic research and practice
Published
2026-01-20
DOI
https://doi.org/10.4274/thoracrespract.2025.2025-6-3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in Patient Care: Evaluating Large Language Model Performance Against Evidence-Based Guidelines for Pulmonary Embolism

Ömer Faruk Karakoyun, Yalçın Gölcük, H. Koyuncuoǧlu, Birdal Yıldırım et al.
Thoracic research and practice
Artificial Intelligence in Healthcare and Education
article

AI in Patient Care: Evaluating Large Language Model Performance Against Evidence-Based Guidelines for Pulmonary Embolism

Ömer Faruk Karakoyun, Yalçın Gölcük, H. Koyuncuoǧlu, Birdal Yıldırım, Ömer H. Sağnıç, Mehmed E. Özdemir
article en

Abstract

AI-driven LLMs show promise in supporting PE management, though none consistently excel in all domains. Further development is needed to enhance clinical integration and guideline compliance.

Thoracic research and practiceVol. 27(1)
Isparta University of Applied Sciences (TR), Muğla University (TR)
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
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