Mpox Outbreak

The mpox outbreak spurred significant research into rapid and accurate diagnostic tools, primarily focusing on leveraging artificial intelligence for image-based detection of skin lesions. Current efforts utilize various deep learning architectures, including convolutional neural networks (CNNs), vision transformers (ViTs), and hybrid models, often incorporating techniques like transfer learning and data augmentation to overcome data scarcity and improve diagnostic accuracy. These AI-driven tools aim to improve early detection and disease management, particularly in resource-limited settings where traditional diagnostic methods are less accessible, thereby contributing to public health efforts to control mpox outbreaks.