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Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis.

Wu QuanyangHuang YaoWang SicongQi LinlinZhang ZeweiHou DonghuiLi HongjiaShijun Zhao
Published 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.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • convolutional neural network
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • quantum dots