Clinical Data Science | Colorectal Surgery | Oncology Construction of a predictive model for postoperative hospitalization time in colorectal cancer patients based on interpretable machine learning algorithm: a prospective preliminary study. July 1, 2024
Clinical Quality Management | Rheumatology Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases. June 27, 2024
Oncology | Pathology | Radiology Deep learning-based multi-modal data integration enhancing breast cancer disease-free survival prediction. June 24, 2024
Artificial Intelligence | Hematology | Oncology MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers. June 14, 2024
Ophthalmology Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography. June 13, 2024
Neurology | Radiology A Multimodal Ensemble Deep Learning Model for Functional Outcome Prognosis of Stroke Patients. June 5, 2024
Biomedical Engineering | Critical Care Medicine A design specification for Critical Illness Digital Twins (CIDTs) to cure sepsis: responding to the National Academies of Sciences, Engineering and Medicine Report “Foundational Research Gaps and Future Directions for Digital Twins”. May 27, 2024
Data Science | Dermatology | Oncology Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review. May 7, 2024
Clinical data analysis | Healthcare Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. May 6, 2024
Neurology | Radiology | Stroke Medicine Deep learning on pre-procedural computed tomography and clinical data predicts outcome following stroke thrombectomy. March 25, 2024
Colorectal Surgery | Medical Informatics | Oncology Construction and validation of machine learning models for predicting distant metastases in newly diagnosed colorectal cancer patients: A large-scale and real-world cohort study. March 16, 2024
Oncology | Radiology A comparison between centralized and asynchronous federated learning approaches for survival outcome prediction using clinical and PET data from non-small cell lung cancer patients. March 8, 2024