Artificial intelligence in management and prognosis of melanoma: A literature review
1 Postgraduate of Oral and Maxillofacial Medicine, Dental School, Tehran University of Medical Sciences, Tehran, Iran.
2 Dentist, Golestan University of Medical Sciences, Gorgan, Iran.
3 Department of Oral and Maxillofacial Surgery, The Dental College of Georgia at Augusta University, Augusta, GA, USA.
Review
Open Access Research Journal of Biology and Pharmacy, 2023, 08(02), 023–026.
Article DOI: 10.53022/oarjbp.2023.8.2.0029
Publication history:
Received on 04 July 2023; revised on 15 August 2023; accepted on 18 August 2023
Abstract:
This literature review aims to explore the applications of artificial intelligence (AI) in the management and prognosis of melanoma, a highly aggressive form of skin cancer. Melanoma is a major public health concern worldwide, and early detection and accurate prognosis are crucial for effective treatment. AI techniques, such as machine learning and deep learning algorithms, have shown promising results in improving the accuracy of melanoma diagnosis, risk assessment, and prognostic prediction. This review consolidates and analyzes existing studies to provide an overview of the current state of AI in melanoma management, highlighting its potential benefits, limitations, and future directions.
Keywords:
Artificial intelligence; Melanoma; Accuracy; Prognosis prediction
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0