AI-Driven Pneumonia Prognosis and Severity  Assessment from Chest X-Ray Images Using  Convolutional Neural Networks

Author(s)	Ms. Sharmathaa S, Prof. S. Dhamodaran, Mr. Boobalan A, Mr. DharaniDharan Selvan
Country	India
Abstract	Pneumonia is a life-threatening respiratory infection that requires timely diagnosis for effective treatment. Traditional radiology diagnosis relies on expert interpretation of chest X-rays, which can be time consuming and prone to human error. This paper presents an AI-driven digital radiologist capable of automatically detecting pneumonia from chest X-ray images using Convolutional Neural Networks (CNN). The proposed system classifies images as Pneumonia or Normal, estimates infection probability, and categorizes severity level. Experimental results demonstrate high accuracy, precision, and recall, making it a reliable tool for early detection and clinical decision support.
Keywords	Pneumonia Detection, Convolutional Neural Networks, Deep Learning, Chest X-ray, Severity Prediction, AI Radiology
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-04-03

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