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Prediction of the short-term efficacy and recurrence of photodynamic therapy in the treatment of oral leukoplakia based on deep learning.

Fei WangYansong SongHao XuJiaxin LiuFan TangDan YangDan YangWenhui LiangLing RenJiongke WangXiaobo LuoYu ZhouXin ZengHongxia DanQianming Chen
Published in: Photodiagnosis and photodynamic therapy (2024)
ALA-PDT has excellent short-term efficacy in the management of OLK but the recurrence rate was high. Prediction model based on clinicopathological characteristics has excellent predictive effect for short-term efficacy but limited effect for recurrence. The use of deep learning and pathology images greatly improves predictive value of the models.
Keyphrases
  • deep learning
  • photodynamic therapy
  • convolutional neural network
  • free survival
  • artificial intelligence
  • machine learning
  • fluorescence imaging