2021
DOI: 10.1097/jom.0000000000002271
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The B Reader Program, Silicosis, and Physician Workload Management

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Cited by 5 publications
(5 citation statements)
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“…Some of the introduced modifications can also consider the latest research results. In recent papers the authors discuss the use of some other diagnostic tools and new methods for early silicosis detection, like high resolution computed tomography (HRCT), ultra-low dose computed tomography (ULD-CT), alveolar crystal burden quantification in bronchoalveolar lavage (BAL), biomarkers present in serum or exhaled breath condensate (EBC) [27][28][29][30].…”
Section: Discussionmentioning
confidence: 99%
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“…Some of the introduced modifications can also consider the latest research results. In recent papers the authors discuss the use of some other diagnostic tools and new methods for early silicosis detection, like high resolution computed tomography (HRCT), ultra-low dose computed tomography (ULD-CT), alveolar crystal burden quantification in bronchoalveolar lavage (BAL), biomarkers present in serum or exhaled breath condensate (EBC) [27][28][29][30].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, it is mandatory to train new groups of specialists in this area and upgrade their qualifications. The use of artificial intelligence (AI) for chest radiographs reading the screening for pneumoconioses is also discussed [28].…”
Section: Discussionmentioning
confidence: 99%
“…Support vector machine (SVM)-based computer-aided silicosis diagnosis could recognize silicosis-associated opacity in several candidate regions for the radiologist's reference [24]. Thus, artificial intelligence (AI)-enabled radiology tools stand to fill the need for regulatory compliance in pneumoconiosis screening, while offering a labor-saving solution to physician workflow issues and enhancing patient safety [25].…”
Section: Early Detectionmentioning
confidence: 99%
“…El diagnóstico de la silicosis asistido por computadora basado en máquinas de vectores de apoyo (support vector machine, SVM) pudo reconocer la opacidad asociada con la silicosis en varias regiones candidatas para referencia del radiólogo [36]. Así pues, las herramientas radiológicas habilitadas por inteligencia artificial (IA) pueden cubrir la necesidad de cumplimiento normativo en la detección de la neumoconiosis, al tiempo que ofrecen una solución que reduce los problemas de flujo de trabajo de los médicos y mejora la seguridad de los pacientes [37].…”
Section: Causas Claras Y Mecanismos Aún No Resueltos De La Silicosisunclassified