Artificial Intelligence in Dermatology

Latest Scientific Advances and Future Perspectives

Autori

Parole chiave:

Artificial Intelligence (AI), Dermatology, Skin Cancer, Machine Learning, Deep Learning, Image Classification, Feature Selection, Large Language Models (LLMs), Cosmetic Dermatology, Convolutional Neural Networks (CNNs), Dermoscopy, Explainable AI, ABCD Rule (Asymmetry, Border, Color, Differential Structure), Ethical Considerations, Diagnostic Accuracy, Bias in AI Models, Data Privacy, Physician-AI Collaboration, Clinical Decision Support Systems

Abstract

Artificial intelligence (AI) is revolutionizing dermatology, offering enhanced diagnostic accuracy, early disease detection, and optimized patient management. This article reviews the latest scientific advancements in AI-based dermatological applications, focusing on melanoma detection, feature selection methods for image classification, and the integration of machine learning in dermatological practice. The study highlights current trends, challenges, and ethical considerations while discussing the potential of AI to transform skin disease diagnosis and treatment.

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Biografia autore

Milo Dolci, Department of Communication Sciences Guglielmo Marconi University Rome Italy

Corresponding author:

Adjunct Professor Dolci Milo,
Department of Communication
Sciences, Guglielmo Marconi Uni-
versity, Rome, Italy
e-mail: ceo@worldhealthacademy.eu

Pubblicato

23-05-2025

Come citare

Lotti, T., & Dolci, M. (2025). Artificial Intelligence in Dermatology: Latest Scientific Advances and Future Perspectives. Unitelematica Leonardo Da Vinci Journal , 5(1), ahead of print. Recuperato da https://scientificeditorial.com/index.php/unitelematica-LDV/article/view/Artificial-Intelligence-in-Dermatology-Latest-Scientific-Advance

Fascicolo

V. 5 N. 1 (2025): Unitelematica Leonardo da Vinci Journal. Supplement

Sezione

REVIEW
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