A Novel Approach For Pneumonia Detection Using AI And ML

Authors: Dr. C. Nandini, Assistant Professor Shreenidhi, B. S, Madhu. S, Lohit, Gowda. T, Mokshit. S, Raju

Abstract: Pneumonia remains a significant global health threat, especially in developing nations where access to skilled radiologists and medical equipment is limited. This paper explores traditional and state-of-the-art methods for automated pneumonia detection using artificial intelligence (AI) and machine learning (ML). It includes a comparative survey of classical machine learning algorithms and modern deep learning architectures like CNNs, transfer learning with pretrained models, and hybrid methods. We discuss various medical image datasets, feature extraction methods, model performance metrics, and the ethical issues in deploying AI in healthcare. The proposed approach aims to improve diagnosis speed and accuracy while ensuring transparency and privacy.

DOI: http://doi.org/