EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE IN DETECTING PULMONARY NODULES ON CHEST X-RAY
Main Article Content
Abstract
Objective: To evaluate the efficacy of the DrAid artificial intelligence software in detecting pulmonary nodules/masses on chest X-rays. Subjects and Methods: 637 patients treated at 108 Military Central Hospital from October 2024 to March 2025 were performed posteroanterior chest X-rays and chest computed tomography (CT) scans. The sensitivity (Se), specificity (Sp), and area under the receiver operating characteristic curve (AUC) of AI analysis were assessed, with comparisons made against the results of radiologists and CT-based reference standard. Results: The AI demonstrated higher Se, and AUC compared to radiologists, but lower Sp. When assisted by AI, radiologists exhibited improvements in Se, Sp, and AUC. Conclusion: AI is an effective tool for enhancing the quality of screening for pulmonary nodules on chest X-rays.
Article Details
Keywords
artificial intelligence, posteroanterior chest X-rays, pulmonary nodule/mass
References
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