Artificial Intelligence in Dermatology: Crossing the Frontier.

Artificial intelligence (AI), an epic frontier in biomedical research, can potentially lead to a paradigm shift in many fields. AI is rapidly reshaping innumerable areas, including that of dermatology, both as a disruptive and assistive technological force. If used properly, AI will be grounded as an effectual tool to be leveraged by physicians in their patient care, enabling optimal diagnostic and treatment outcomes. Skin cancer is among the most prevalent cancers globally, with increasing incidence. AI-based technologies have emerged in recent times to precipitate successful diagnosis of cutaneous malignancies. Here, we review recent advances of AI in dermatology and dermatopathology, its applications in diagnosis, its impact on clinical investigations, usability limitations, and future potential.

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Journal
PubMed
Published
2025-09-01
Primary Topic
Cutaneous Melanoma Detection and Management
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article
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article

Artificial Intelligence in Dermatology: Crossing the Frontier.

C K Janniger, Kyleigh E Brimmer, Madison C Downs
PubMed
Cutaneous Melanoma Detection and Management
article

Artificial Intelligence in Dermatology: Crossing the Frontier.

C K Janniger, Kyleigh E Brimmer, Madison C Downs
article en

Abstract

Artificial intelligence (AI), an epic frontier in biomedical research, can potentially lead to a paradigm shift in many fields. AI is rapidly reshaping innumerable areas, including that of dermatology, both as a disruptive and assistive technological force. If used properly, AI will be grounded as an effectual tool to be leveraged by physicians in their patient care, enabling optimal diagnostic and treatment outcomes. Skin cancer is among the most prevalent cancers globally, with increasing incidence. AI-based technologies have emerged in recent times to precipitate successful diagnosis of cutaneous malignancies. Here, we review recent advances of AI in dermatology and dermatopathology, its applications in diagnosis, its impact on clinical investigations, usability limitations, and future potential.

PubMedVol. 33(2)
Rutgers, The State University of New Jersey (US)
Openalex Percentile: Top 27%
Cutaneous Melanoma Detection and Management
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