AI-Augmented Dermoscopy in Non-Invasive Skin Cancer Detection: A Narrative Review


Authors : Sona Bijunath; Ashwin Shajith; B. B. Aruna Rajeswari

Volume/Issue : Volume 11 - 2026, Issue 1 - January


Google Scholar : https://tinyurl.com/4uuk4nu2

Scribd : https://tinyurl.com/mpfysjfb

DOI : https://doi.org/10.38124/ijisrt/26jan667

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Melanoma, the most aggressive form of skin cancer, remains a leading cause of cancer-related mortality worldwide. Although dermoscopy enhances non-invasive diagnosis, it remains heavily operator-dependent; integrating artificial intelligence can mitigate this limitation by improving diagnostic accuracy, enabling early detection, and supporting broader clinical application. This narrative review examines the current landscape, advantages, and challenges of AI- augmented dermoscopy, while envisioning a future of more precise, accessible, and personalized dermatologic care.

Keywords : Artificial Intelligence; Dermoscopy; Skin Cancer; Melanoma; Non-Invasive Diagnosis; Early Detection.

References :

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  2. Reddy S, Shaheed A, Patel R. Artificial intelligence in dermoscopy: Enhancing diagnosis to distinguish benign and malignant skin lesions. Cureus. 2024;16: e54656. doi:10.7759/cureus.54656
  3. Witkowski AM, Burshtein J, Christopher M, Cockerell C, Correa L, Cotter D, et al. Clinical utility of a digital dermoscopy image-based artificial intelligence device in the diagnosis and management of skin cancer by dermatologists. Cancers (Basel). 2024;16(21):3592. doi:10.3390/cancers16213592
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  5. European Society for Medical Oncology (ESMO). Man against machine: Artificial intelligence is better than dermatologists at diagnosing skin cancer [Internet]. 2023 May 9 [cited 2026 Jan 1]. Available from: https://www.esmo.org/newsroom/press-and-media-hub/esmo-media-releases/artificial-intelligence-skin-cancer-diagnosis
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  7. Arnett A. The integration of AI with dermatoscopic diagnosis [Internet]. Dermatology Innovations; 2024 May 17 [cited 2026 Jan 1]. Available from: https://dermatology-innovation.com/medical-equipment/dermatoscopes/integration-artificial-intelligence-dermatoscopic-diagnosis/
  8. Sengupta D. Artificial intelligence in diagnostic dermatology: Challenges and the way forward. Indian Dermatol Online J. 2023;14(6):782–787. doi: 10.4103/idoj.idoj_462_23

Melanoma, the most aggressive form of skin cancer, remains a leading cause of cancer-related mortality worldwide. Although dermoscopy enhances non-invasive diagnosis, it remains heavily operator-dependent; integrating artificial intelligence can mitigate this limitation by improving diagnostic accuracy, enabling early detection, and supporting broader clinical application. This narrative review examines the current landscape, advantages, and challenges of AI- augmented dermoscopy, while envisioning a future of more precise, accessible, and personalized dermatologic care.

Keywords : Artificial Intelligence; Dermoscopy; Skin Cancer; Melanoma; Non-Invasive Diagnosis; Early Detection.

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