Disease Detection from X-Rays and Report Generation

Problem Statement:  Manual chest x-ray interpretation is slow, prone to human error, and requires specialized expertise. Delays in diagnosis can lead to increased patient anxiety, potential misdiagnoses, and slower treatment, especially in urgent cases. Access to expert radiologists is often limited in rural or underserved areas, impacting care quality.

Our Solution:

AI-Powered Image Classification: Our solution harnesses deep learning techniques to swiftly analyze chest x-rays and detect diseases like pneumonia, tuberculosis, and lung cancer. This AI-powered model provides highly accurate diagnoses in real-time, significantly reducing the dependency on human interpretation. By delivering rapid results, it enables earlier medical interventions and enhances overall patient outcomes.