Computer Aided Diagnosis

Computer-aided diagnosis (CAD) uses machine learning to assist in medical diagnosis, primarily aiming to improve diagnostic accuracy and efficiency. Current research focuses on developing robust and explainable models, employing architectures like convolutional neural networks, transformers, and ensemble methods, often incorporating multimodal data (e.g., images, text reports) and addressing challenges like cross-vendor reproducibility and data scarcity. The impact of CAD systems is significant, potentially leading to earlier and more accurate disease detection, improved patient outcomes, and enhanced workflow efficiency in healthcare settings.