THE POTENTIAL APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN THE FIELDS OF DERMATOLOGY AND GENERAL CLINICAL PRACTICE

Abstract

The diagnosis of skin tumors, including melanoma, basal cell carcinoma, and squamous cell carcinoma, has historically relied on dermatologists' clinical expertise and biopsy confirmation. In recent years, artificial intelligence (AI) has emerged as a powerful tool in dermatology, particularly in the early detection and diagnosis of skin tumors. AI-powered algorithms, especially those based on deep learning, can analyze dermoscopic images with remarkable accuracy, often rivaling or surpassing human experts. This article explores the role of AI in diagnosing skin tumors, highlights its advantages, examines challenges and limitations, and discusses the future of AI-driven tools in dermatological care.