Identification of genomic alteration and prognosis using pathomics-based artificial intelligence in oral leukoplakia and head and neck squamous cell carcinoma: A multicenter experimental study.

Xin-Jia Cai Chao-Ran PengYing-Ying CuiLong LiMing-Wei HuangHe-Yu ZhangJian-Yun Zhang Tie-Jun Li

Published in: International journal of surgery (London, England) (2024)

To the best of our knowledge, this study developed the first genomic alteration prediction deep learning model in OLK and HNSCC. This novel AI model could predict 9p loss and assess patient prognosis by identifying pathomics features in H&E-stained images with good performance. In the future, the 9PLP model may potentially contribute to better clinical management of OLK and HNSCC.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
convolutional neural network
healthcare
copy number
clinical trial
cross sectional
double blind