Artificial intelligence in quantitative chest imaging analysis for occupational lung disease: appraisal of its current status

Recent advancements offer strong promise for computer-assisted diagnosis of pneumoconiosis using chest radiographs and CT scans. The standardization and integration of these technologies - especially with support from international organizations and collaborative studies - will be critical to achieving accurate, implementable screening tools for occupational lung disease.

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Publication Details

Journal
Current Opinion in Pulmonary Medicine
Published
2025-12-09
DOI
https://doi.org/10.1097/mcp.0000000000001240
Primary Topic
Occupational and environmental lung diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in quantitative chest imaging analysis for occupational lung disease: appraisal of its current status

Taro Tamura, Masamitsu Eitoku, Narufumi Suganuma
Current Opinion in Pulmonary Medicine
Occupational and environmental lung diseases
article

Artificial intelligence in quantitative chest imaging analysis for occupational lung disease: appraisal of its current status

Taro Tamura, Masamitsu Eitoku, Narufumi Suganuma
article en

Abstract

Recent advancements offer strong promise for computer-assisted diagnosis of pneumoconiosis using chest radiographs and CT scans. The standardization and integration of these technologies - especially with support from international organizations and collaborative studies - will be critical to achieving accurate, implementable screening tools for occupational lung disease.

Current Opinion in Pulmonary MedicineVol. 32(2)
Kōchi University (JP)
Openalex Percentile: Top 42%
Occupational and environmental lung diseases
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