Information Technology Usage in Skin Disease Detection

Millions of individuals of all ages are affected by skin diseases, a widespread problem worldwide. Early diagnosis and detection are essential for these diseases to be effectively treated and improve patient outcomes. Automated skin disease detection systems are a viable way to increase diagnostic accuracy and lighten the workload of dermatologists, by developments in machine learning and computer vision. These systems examine skin lesions and categorize them into several disease groups using various techniques, including feature extraction, deep learning, and image processing. Such systems are still being developed to enhance their precision and usefulness. This paper provides an overview of the different information technologies in skin disease detection, including their effectiveness, the challenges and limitations of existing systems, and future research directions in this field.