A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges

Abstract

A substantial body of research has been published on artificial intelligence applications in skin cancer influenced by the latter's rising rates, the scarcity of specialized healthcare professionals, and rapid advancements in automated diagnosis and treatment methods. We present a comprehensive review employing text mining to identify key themes of artificial intelligence in skin cancer diagnosis and treatment research. Our text mining model …