Predict Early Recurrence of Resectable Hepatocellular Carcinoma Using Multi-Dimensional Artificial Intelligence Analysis of Liver Fibrosis.

I-Ting LiuChia-Sheng YenWen-Lung WangHung-Wen TsaiChang-Yao ChuMing-Yu ChangYa-Fu HouChia-Jui Yen

Published in: Cancers (2021)

By integrating multi-dimensional artificial intelligence and SHG/TPEF microscopy, we may locate patients with a higher risk of recurrence, follow these patients more carefully, and conduct further management if needed.

Keyphrases

artificial intelligence
machine learning
big data
liver fibrosis
deep learning
end stage renal disease
newly diagnosed
ejection fraction
prognostic factors
free survival
single molecule
squamous cell carcinoma
mass spectrometry
patient reported outcomes
single cell