How Can We Use Artificial Intelligence to Predict Melanoma?

Abstract

Roughly 70% of metastatic melanoma cancer patients succumb to the 5-year survival rate. When compared to more commonly diagnosed skin cancers, such as Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC), the fatality rate for patients with melanoma is almost three times higher. Although there are several treatments available for patients, these therapies are accompanied by severe side effects and are often unable to cure higher stages of melanoma. This is why researchers have begun to combine therapeutic procedures with Artificial Intelligence (AI). The prediction abilities of AI have proven to be effective in detecting early symptoms of melanoma. Using various machine learning methods, AI can identify hidden melanoma cancer cells typically in the epidermis. This review aims to understand the AI techniques harnessed to predict the emergence of melanoma in a human body, as well as the possible benefits and risks of using computational models  in medicine.