Revolutionizing skin cancer diagnosis with artificial intelligence: Insights into machine learning techniques

A frequent cancer worldwide is skin cancer. Non- melanoma exists. Melanoma kills more than non- melanoma skin malignancies. Successful treatment and early diagnosis improve skin cancer survival. Cancer burden and prognosis vary depending on the diagnosis type and stage. The biopsy method used to diagnose skin cancer is imprecise. To diagnose and treat skin cancer early, onco- dermatologists must enhance diagnostic accuracy. Doctors use several tools to diagnose skin lesions. Through image processing, AI has enhanced early skin cancer diagnosis. Radiology adopted artificial intelligence (AI) sooner than dermatology. AI is now more accessible because of technology, AI-p owered expert systems can detect skin cancer early. This chapter examines early skin cancer diagnosis using machine learning (ML) models and the problem of automating skin cancer diagnosis with AI algorithms. This study sheds light on past and future efforts to diagnose early skin cancer and other concerns.