Paper Key : IRJ************719
Author: Vikas Bhor
Date Published: 19 Oct 2023
Abstract
Detecting cold sores is essential for effective treatment and containment. Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), can help automate and improve cold sore detection from medical images. CNNs are excellent at analyzing images, enabling the identification of cold sore characteristics with precision. This research provides an overview of cold sores, their physical manifestations, and current diagnostic methods. It explores the application of AI algorithms, the fine-tuning of CNNs, and the importance of a diverse and comprehensive dataset for training. Furthermore, the paper discusses the benefits of integrating AI-based cold sore detection into healthcare, including enhanced diagnostic accuracy, early intervention, and improved public health outcomes.