Disease detection using X-Rays
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Date
2025
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Journal ISSN
Volume Title
Publisher
UMT.Lahore
Abstract
Medical imaging is essential to contemporary healthcare since it makes it possible to diagnose a number of illnesses via X-ray analysis. But finding qualified radiologists is still difficult, especially in underprivileged areas, which causes delays, incorrect diagnoses, and financial strain on patients. By combining medical imaging and artificial intelligence (AI), MedX-GPT seeks to close this gap and offer a quick, affordable, and precise diagnostic solution. Convolutional Neural Networks (CNNs) are used in this study to classify and diagnose diseases in X-ray pictures. Additionally, a Large Language Model (LLM) is integrated to help medical practitioners by offering interactive diagnostic insights. The system is intended to provide accessibility to medical imaging solutions, decrease radiologists' burden, and improve diagnosis accuracy. MedX-GPT hopes to improve healthcare accessibility and dependability by creating a real-time, AI-powered X-ray analysis tool, especially for individuals who face financial and geographic obstacles. The experiment shows how artificial intelligence (AI) may transform medical diagnosis, lower human error, and speed up patient treatment