Cardiomegaly Detection

Cardiomegaly detection research focuses on developing accurate and efficient methods for identifying an enlarged heart using chest X-rays, aiming to improve early diagnosis and patient outcomes. Current efforts leverage deep learning, employing convolutional neural networks (CNNs) and U-Net architectures, often incorporating techniques to enhance privacy, explainability, and computational efficiency. These AI-driven approaches demonstrate promising diagnostic performance, often exceeding that of human radiologists in some studies, highlighting the potential for improved healthcare through automated analysis of medical images.