Glen Cheng

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About

Dr. Glen Cheng is a physician-researcher at the intersection of occupational lung disease and artificial intelligence in radiology. His work focuses on improving the detection and management of silicosis, a debilitating occupational lung disease, through innovative healthcare technologies. Dr. Cheng is best known for his influential analysis of the B Reader Program, where he examined how AI-driven pattern recognition can alleviate physician workload while enhancing diagnostic accuracy for pneumoconiosis. His 2021 paper on this topic, which has garnered 5 citations, demonstrates how machine learning algorithms can match or exceed human performance in classifying chest radiographs for silicosis, potentially transforming screening protocols for at-risk workers. By quantifying the time savings and diagnostic consistency offered by AI, Dr. Cheng’s research provides a practical roadmap for integrating computational tools into occupational health surveillance. His work is particularly notable for addressing both the clinical and operational challenges of physician shortages in industrial medicine. For students and researchers exploring AI in radiology or occupational health, Dr. Cheng’s contributions offer a compelling case study in how technology can expand access to expert-level diagnostics while supporting overburdened healthcare systems.