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.
Authors
- Taro Tamura
- Masamitsu Eitoku (ORCID: https://orcid.org/0000-0002-1715-9670)
- Narufumi Suganuma (ORCID: https://orcid.org/0000-0003-1610-6216)
Institutions
- Kōchi University (JP)
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