Oncology | Pathology | Surgery Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery. January 31, 2024
Cardiology | Deep Learning | Healthcare Informatics Application of an end-to-end model with self-attention mechanism in cardiac disease prediction. January 29, 2024
Hepatology | Oncology | Radiology CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma. January 25, 2024
Neurology | Oncology | Radiology The application value of deep learning in the background of precision medicine in glioblastoma. January 23, 2024
Gastroenterology | Nephrology Automated machine learning for early prediction of acute kidney injury in acute pancreatitis. January 11, 2024
Artificial Intelligence | Oncology | Precision Medicine Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review. January 8, 2024
Healthcare | Machine Learning Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning. August 24, 2023
Artificial Intelligence in Healthcare | Infectious Diseases | Internal Medicine Integrating Medical Domain Knowledge for Early Diagnosis of Fever of Unknown Origin: An Interpretable Hierarchical Multimodal Neural Network Approach. August 17, 2023
Clinical data analysis | Machine Learning | Population Health Unsupervised pre-training of graph transformers on patient population graphs. July 20, 2023
Oncology | Radiology Single Modality vs. Multimodality: What Works Best for Lung Cancer Screening? July 8, 2023
Infectious Disease | Internal Medicine | Radiology BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. June 26, 2023