Research progress in early-stage lung cancer risk assessment methods based on artificial intelligence / 国际生物医学工程杂志

ABSTRACT

Lung cancer is one of the most serious malignant tumors threatening human health. Early detection and accurate risk assessment are crucial for improving the survival rate and prognosis of lung cancer patients. In this review paper, the research progress in early-stage lung cancer risk assessment methods based on predictive factors and medical imaging was summarized. The results indicated that by utilizing more diverse machine learning algorithms and larger-scale datasets, independent risk prediction factors can be further mined to achieve an accurate assessment of individual lung cancer risk.