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This study evaluates the effectiveness of computer-based analysis of ventilation-perfusion (V–P) lung scans in diagnosing pulmonary embolism in patients with abnormal chest X-rays, particularly those who cannot undergo CT angiography. The findings indicate that artificial neural networks (ANNs) perform comparably to clinical interpretations, and combining both methods enhances diagnostic accuracy. The research suggests that this approach can improve diagnosis for patients lacking alternative diagnostic opti

Author

fanlin.hahaha

Language

EN