Skin diseases are prevalent worldwide, affecting 30–70% of individuals and necessitating accurate and efficient diagnosis. Laser and light based medical tools have sped up and improved skin disease diagnosis, but they cost too much. To fix this, experts now use image processing to build automatic screening systems for skin problems. The skin, our body's biggest organ, gives lots of medical information making it perfect for new ways to diagnose issues. Computer-aided diagnosis (CAD) systems have gotten better at spotting skin cancer in special skin images. But not much work has been done on common skin problems that people can photograph with regular cameras or phones. Artificial intelligence (AI) is now a big deal in computer science research, but it's just starting to be used in skin medicine. Skin doctors and other medical experts need to learn the basics of AI because skin conditions provide lots of clinical and image data making them ready for AI to change medicine in a big way. This paper looks at how AI is being used more and more in skin medicine where many studies are already looking at skin problems like skin cancer, psoriasis, acne, and pemphigus. The combination of AI and image-processing methods is causing a revolution in how doctors diagnose skin problems. It offers faster and cheaper ways to spot different skin issues. This paper provides insights into the potential of AI and image processing to enhance dermatological diagnosis, ultimately improving healthcare outcomes for a significant portion of the global population.