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Volume 2 , Issue 1 , PP: 28-41, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Abdelaziz A. Abdelhamid 1 *
Doi: https://doi.org/10.54216/MOR.020103
AI is emerging as a potential tool for revolutionizing dermatology in the early detection and diagnosis of skin cancers. This Review looks into the most recent innovations in AI technology, such as machine learning, deep learning, and explainable AI (XAI)) Moreover, it presents how one can achieve diagnostic accuracy similar to or exceeding that of well-experienced dermatologists. Access to such diagnostic tools in under resourced areas has been enhanced, inter-observer variability has increased, and workflows in clinical practice have been streamlined. Nevertheless, issues regarding diversity in data, generalization of models, and the inscrutability of many AI systems remain, and the use of these systems in clinical practice needs to be improved. The paper emphasizes the need for interdisciplinary collaboration, diverse dataset collection, and lightweight and interpretable AI models to solve these issues. Lastly, it brings together important findings and identifies research gaps, showing AI's potential to change the dermatology world for all patients.
Artificial Intelligence , Skin Cancer Detection , Dermatology , Deep Learning , Explainable AI , Diagnostic Accuracy
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