Clinical Validation of an AI System for Pneumoconiosis Detection Using Chest X-rays

"eTóraxLaboral" facilitates early pneumoconiosis detection, providing crucial diagnostic support for healthcare workers in Chile and other developed or developing nations.

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Publication Details

Journal
Journal of Occupational and Environmental Medicine
Published
2025-01-28
DOI
https://doi.org/10.1097/jom.0000000000003329
Citations
2
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
2.72
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article

Clinical Validation of an AI System for Pneumoconiosis Detection Using Chest X-rays

Cesar Arellano, Esther Díaz Ruiz, Carlos Conill Llobet, Carmen A. Archila et al.
2 citations
Journal of Occupational and Environmental Medicine
COVID-19 diagnosis using AI
2.72
article

Clinical Validation of an AI System for Pneumoconiosis Detection Using Chest X-rays

Cesar Arellano, Esther Díaz Ruiz, Carlos Conill Llobet, Carmen A. Archila, Gonzalo Carrasco, Francisca Pinochet
article en
2 citations

Abstract

No abstract available for this paper.

Journal of Occupational and Environmental MedicineVol. 67(4)
Fundación Chile (CL), Hospital Regional de Talca (CL)
Partnerships for the goals
Openalex Percentile: Top 13%
COVID-19 diagnosis using AI
2.72
DOISourceOpenAlex
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