Large Scale Medical

Large-scale medical research leverages massive datasets to improve disease diagnosis, treatment, and public health planning. Current research focuses on developing and applying advanced machine learning models, including transformers, for tasks like image segmentation and classification, often employing federated learning to address data privacy concerns. These efforts aim to create more accurate, efficient, and equitable healthcare solutions by overcoming challenges related to data heterogeneity, annotation limitations, and computational resource constraints.