Artificial Intelligence | Oncology | Pathology Deep learning classification and quantification of pejorative and non-pejorative architectures in resected hepatocellular carcinoma from digital histopathological images. June 15, 2024
Oncology | Pathology Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology. May 23, 2024
Computational Pathology | Oncology | Pathology Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. February 10, 2024
Oncology | Pathology | Surgery Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery. January 31, 2024
Oncology | Pathology Weakly supervised deep learning predicts immunotherapy response in solid tumors based on PD-L1 expression. December 21, 2023
Oncology | Pathology | Radiology Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma. December 13, 2023
Oncology | Pathology Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study. June 3, 2023
Artificial Intelligence | Medical Imaging | Pathology Artificial Intelligence-Based Opportunities in Liver Pathology-A Systematic Review. May 27, 2023
Hepatology | Oncology | Radiology Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma. May 19, 2022
Artificial Intelligence | Oncology | Pathology Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. February 10, 2022
Oncology | Pathology A deep learning model to predict RNA-Seq expression of tumours from whole slide images. August 4, 2020
Oncology | Pathology | Surgery Predicting survival after hepatocellular carcinoma resection using deep-learning on histological slides. February 28, 2020