AI Model Enhances Early Detection of Lung Cancer with High Accuracy
Researchers at Kaunas University of Technology have developed a dual perspective AI model that significantly improves the accuracy of early lung cancer diagnosis. This model analyzes CT scans by focusing on both small details and the overall image context simultaneously, mimicking the diagnostic process of radiologists. The AI system achieved an accuracy rate of over 96%, outperforming existing methods. It was trained on CT scans from both healthy individuals and cancer patients, learning to distinguish between normal, benign, and malignant cases. This advancement aims to support clinicians by providing a reliable second opinion, potentially leading to earlier detection and improved patient outcomes. 
