Disease Severity

Disease severity assessment aims to objectively quantify the extent of illness, improving diagnosis, treatment, and monitoring of various conditions. Current research heavily utilizes artificial intelligence, employing deep learning models like convolutional neural networks (CNNs), transformers, and Bayesian approaches, often incorporating active learning and data augmentation techniques to address challenges like limited labeled data and inter-rater variability. This work focuses on automating severity scoring from diverse data modalities, including medical images, videos, and wearable sensor data, with the goal of improving diagnostic accuracy, personalizing treatment, and streamlining clinical workflows. The ultimate impact lies in enhancing patient care through more precise and efficient disease management.