The future of dermatology: integrating artificial intelligence into clinical practice

Dermatology has benefited considerably from the use of artificial intelligence (AI), which has emerged as a crucial tool in healthcare. Algorithms for machine learning (ML) and deep learning (DL), in particular convolutional neural networks (CNNs), have demonstrated significant promise in the diagnosis of skin disorders, classification of lesions, and telemedicine support. The use of AI in dermatology is examined in this paper, with particular attention paid to how it might improve patient care, increase access to dermatological treatments, and improve diagnostic accuracy. It also discusses the difficulties, moral dilemmas, and potential applications of AI in dermatology. It highlights the necessity of cooperation between researchers, practitioners, and regulatory agencies to guarantee a secure and efficient transition into clinical practice.

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Publication Details

Journal
International Journal of Research in Dermatology
Published
2025-02-24
DOI
https://doi.org/10.18203/issn.2455-4529.intjresdermatol20250444
Citations
1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
1.05
Controls
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article

The future of dermatology: integrating artificial intelligence into clinical practice

Zainab Mohamed, Nawaf Al-Mutairi, Bakri Al Agraa
1 citations
International Journal of Research in Dermatology
Cutaneous Melanoma Detection and Management
1.05
article

The future of dermatology: integrating artificial intelligence into clinical practice

Zainab Mohamed, Nawaf Al-Mutairi, Bakri Al Agraa
article en
1 citations

Abstract

Dermatology has benefited considerably from the use of artificial intelligence (AI), which has emerged as a crucial tool in healthcare. Algorithms for machine learning (ML) and deep learning (DL), in particular convolutional neural networks (CNNs), have demonstrated significant promise in the diagnosis of skin disorders, classification of lesions, and telemedicine support. The use of AI in dermatology is examined in this paper, with particular attention paid to how it might improve patient care, increase access to dermatological treatments, and improve diagnostic accuracy. It also discusses the difficulties, moral dilemmas, and potential applications of AI in dermatology. It highlights the necessity of cooperation between researchers, practitioners, and regulatory agencies to guarantee a secure and efficient transition into clinical practice.

International Journal of Research in DermatologyVol. 11(2)
University of Khartoum (SD), Kuwait University (KW), Institute of Dermatology & Venereology of the Yunnan Province (CN)
Openalex Percentile: Top 25%
Cutaneous Melanoma Detection and Management
1.05
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The future of dermatology: integrating artificial intelligence into clinical practice — Zainab Mohamed, Nawaf Al-Mutairi, et al. · International Journal of Research in Dermatology (2025) | TGRS Research Map | TGRS