Published Paper Details:

Skin cancer is the most common type of cancer in the globe and can be fatal if not diagnosed and treated in time. Early detection is the key for timely diagnosis and successful outcomes. Artificial Intelligence (AI) has emerged as a promising tool for early detection of skin cancer. AI algorithms can provide support in improve diagnosis accuracy through automated image analysis techniques such as pattern recognition and machine learning. AI systems also enable non-experts to assess the risk of skin cancer through image classification and segmentation. AI solutions can also automate manual processes like analyzing biopsied images, leading to quicker diagnosis and treatments with improved accuracy. By combining AI with conventional tools, providers can offer a cost-effective and efficient solution for skin cancer screening and diagnosis in healthcare settings. In this way, AI can help to reduce the burden of skin cancer on both lives and healthcare resources