Using artificial intelligence to detect pneumoconiosis — An AI system for detecting respiratory pathologies of occupational origin
International Social Security Association (ISSA)
Ref: SRC-002-CHL-001
Accessed: 3/26/2026
Summary
ISSA Good Practice recognition documenting eTóraxLaboral as an AI system for detecting pneumoconiosis. Reports the model detects healthy images with 99% accuracy, addresses the shortage of ILO-certified physicians (10 nationally) against demand of 332 daily image reads, and notes 5.4% of Chilean workforce at high risk of silica exposure. Full content restricted to ISSA members.
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ISSA (n.d.) 'Using artificial intelligence to detect pneumoconiosis — An AI system for detecting respiratory pathologies of occupational origin', International Social Security Association Good Practice gp/244268. Available at: https://www.issa.int/gp/244268 (Accessed: 26 March 2026).