Artificial Intelligence: Powered Medical Diagnosis  System

Author(s)	Ms. Akshay Sai Sree K, Dr. P Vishnu Mahesh, Mr. Datla Sivaji Varma, Ms. Kundrapu Hema Varshitha, Ms. Ippili Sharan Kumar
Country	India
Abstract	Pneumonia is a serious lung infection that can lead to death if not diagnosed early. One of the most common and affordable ways to detect pneumonia is through chest X-ray imaging. However, an experienced radiologist must analyze the results, which can take a lot of time. Delays or differences in how humans interpret the images can cause variations in diagnosis. This project presents a deep learning-based system designed to identify pneumonia from chest X-ray images using a Convolutional Neural Network (CNN) [Transfer Learning, Binary Medical Image Classification]. The proposed system follows several important steps, including image acquisition, image validation, CNN-based prediction, and result generation. These steps help ensure reliable classification of chest X-ray images. First, the system checks that the uploaded image is a chest X-ray. Then, it categorizes the image as either normal or pneumonia.
Keywords	Pneumonia, Chest X-Ray, Deep Learning, Artificial Intelligence, Medical Image Analysis, Pneumonia Detection, Deep Learning, Convolutional Neural Networks, Transfer Learning, Medical Image Classification
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-03

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International Journal For Multidisciplinary Research