Advancing Lung Cancer Diagnosis and Management: Integrating AI with PET/CT Imaging

Lung cancer remains the most common and lethal cancer worldwide. Recent advancements in artificial intelligence (AI), particularly in deep learning (DL) and machine learning (ML), are revolutionizing its diagnosis and management. This synthesis explores the integration of AI with (¹⁸F) fluorodeoxyglucose positron emission tomography/computed tomography ((¹⁸F)FDG-PET/CT) in enhancing the detection and classification of lung cancer. In conclusion, the integration of AI with PET/CT imaging in lung cancer presents a paradigm shift in oncological diagnostics. By harnessing the power of radiomics, ML, and DL, it is possible to improve the accuracy of lung cancer diagnosis, tailor treatment strategies, and enhance patient outcomes.