Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis.
Wu QuanyangHuang YaoWang SicongQi LinlinZhang ZeweiHou DonghuiLi HongjiaShijun ZhaoPublished in: Cancer medicine (2024)
AI offers a promising supportive approach to lung cancer screening, presenting considerable potential in enhancing nodule detection sensitivity, reducing false-positive rates, and classifying nodules. However, the universality and interpretability of AI results need further enhancement. Future research should focus on the large-scale validation of new deep learning-based algorithms and multi-center studies to improve the efficacy of AI in lung cancer screening.