Cardiomegaly Prediction Using Computer Vision

Cardiomegaly, the enlargement of the heart, poses a significant challenge in the field of healthcare. Outdated diagnostic methods often lead to delayed detection and intervention. This project presents an innovative solution employing artificial intelligence (AI) to predict cardiomegaly. By leveraging computer vision techniques on medical imaging data, specifically chest X-rays, this system aims to automate the identification and prediction of cardiomegaly. Through AI-driven analysis and feature extraction, the project seeks to provide accurate and timely diagnoses, facilitating early intervention and treatment. Key factors such as image-based indicators, patient demographics, and clinical history are considered in the prediction process. By enhancing the accuracy of cardiomegaly prediction, this initiative contributes to improved patient outcomes and healthcare efficiency. The project also offers a user-friendly interface for healthcare professionals, making it accessible and practical in clinical settings.