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Dr. I. D. Soubache is a Professor and Postdoctoral Fellow at Eudoxia Research University, New Castle, USA. He has more than 20 years of teaching experience and four years of industry experience. He has published over 60 research papers and holds more than 70 international and national patents and copyrights. His academic interests include innovation, interdisciplinary research, and research development.
Dermatological disorders provide a considerable worldwide medical dilemma due to their varied clinical presentations, overlapping visual traits, and differing degrees of severity. Prompt and precise recognition of skin disorders is crucial for prompt intervention, suitable referral, and enhanced patient results. Conventional diagnosis of skin disorders predominantly depends on clinical assessment, dermoscopic analysis, patient medical history, and, where warranted, histological study. This chapter offers an extensive summary of AI-based skin disease identification, encompassing picture collection, preprocessing, feature extraction, classification, interpretable AI, model assessment, and clinical decision assistance. The section additionally addresses issues related to dataset imbalance, discrepancies in skin tones, insufficient data diversity, diagnostic ambiguity, privacy concerns, and clinical validation. The suggested paradigm establishes a basis for creating dependable, comprehensible, and fair AI-enhanced dermatological screening systems. Such systems ought to augment, rather than supplant, proficient clinical evaluation.