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

Journal: Journal of occupational and environmental medicine

PMID: 39905932

Abstract

OBJECTIVE: The aims of the study were to develop and evaluate "eTóraxLaboral," an intelligent platform for detecting signs of pneumoconiosis in chest radiographs and to assess its predictive capacity.

Authors

Eduardo R Ruiz

From the Convicción Digital, Talca, Región del Maule, Chile (E.R.R., C.A.A., G.C., F.P.); and Mutual de Seguridad, Santiago, Región Metropolitana, Chile (C.A.A., C.L.).
Carolina A Arellano
Carmen A Archila
Carolina Llobet
Gonzalo Carrasco
Francisca Pinochet

Keywords

Adult Aged Artificial Intelligence Female Humans Male Middle Aged Pneumoconiosis Predictive Value of Tests Radiography, Thoracic Retrospective Studies ROC Curve Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (39905932)

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

Abstract

Authors

Keywords

External Resources

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