Norbert Kiss, MD, PhD, Assistant Professor of Dermatology, Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest. Hungary

Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, aiding treatment planning, and improving patient management across multiple medical fields. AI-driven solutions have been particularly effective in dermatology, radiology and pathology, where image recognition algorithms assist in early disease detection and risk assessment. In surgery, robotic-assisted techniques enhance precision, while AI-powered predictive analytics contribute to personalized medicine and treatment optimization.

Within dermatology, AI has shown significant promise in diagnosing skin diseases and improving access to care through teledermatology applications. Deep learning algorithms have demonstrated high accuracy in detecting conditions such as skin cancer, often matching or surpassing expert-level dermatologists. AI-powered tools also aid in monitoring disease progression, optimizing treatment plans, and educating patients on skincare. Teledermatology applications integrated with AI have expanded access to specialized care, particularly in underserved regions, enabling early detection and timely interventions.

Despite these advancements, the implementation of AI in dermatology and other medical fields faces challenges, including data privacy concerns, regulatory issues, and ethical considerations in decision-making. Ensuring the responsible integration of AI requires interdisciplinary collaboration between clinicians, researchers, and policymakers.

This presentation will examine AI’s diverse applications in clinical medicine, with a special emphasis on dermatology. Insights into AI-driven innovations, their benefits, and the challenges that must be addressed for successful adoption in modern clinical practice will be explored.

Keywords: Artificial Intelligence, Healthcare, Dermatology