AI in Dermatology: Exploring the Potentials, Navigating the Concerns

Integrating artificial intelligence (AI) into dermatology practice crosses domains involving visual assessment and text management. Clinical dermatology and dermatopathology are both impacted by AI. Rapid advances are occurring in image analysis, machine learning techniques for predictive modeling (e.g. convolution neural networks), and natural language processing. Challenges faced include those relating to dataset quality limitations and biases, patient population diversity, lack of transparency in understanding predictive algorithms, requirements for system validation, ethical and regulatory issues, and practical challenges of model integration into clinical workflows. Understanding AI and the respective roles of AI and dermatologists are important for dermatological practice.