Artificial Intelligence for Skin Psoriasis Identification A Clinical Viewpoint for Medical Practitioners

Artificial intelligence is emerging as a valuable tool in the diagnosis and management of psoriasis. By integrating computer vision, deep learning, and clinical decision-support systems, AI can assist healthcare professionals in detecting psoriasis, differentiating it from similar skin disorders, assessing disease severity, and monitoring treatment response. Studies have shown that AI models trained on diverse, high-quality datasets can achieve high diagnostic accuracy. However, AI is designed to support, not replace, the clinical expertise of dermatologists. Continued collaboration among clinicians, computer scientists, and healthcare organizations is essential to develop accurate, transparent, ethical, and clinically reliable AI systems for routine dermatological practice.

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