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Background <p>The incidence of malignant melanoma has increased exponentially in recent decades. The combination of total body photography (TBP) and digital dermoscopy (DD) improved the early detection of melanoma in previous studies. Furthermore, the use of artificial intelligence (AI) can improve the diagnostic accuracy of dermatologists.</p> Objectives <p>In the present work, the applications of AI in TBP, DD, and high-resolution dermoscopy in clinical practice are evaluated.</p> Materials and methods <p>A&#xa0;literature review was conducted of previous studies on the use of TBP, DD, and high-resolution dermoscopy and the integration of AI in these devices for the early detection of melanoma.</p> Results and conclusion <p>The use of AI can improve the diagnostic accuracy of TBP, DD, and high-resolution dermoscopy. As most of the studies to date have been conducted in an artificial setting, more studies are needed to evaluate the potential use of AI in the clinical setting. In addition, staff must be trained and informed about the legal framework regarding the use of AI in everyday clinical practice.</p>

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Künstliche Intelligenz-Einsätze in der Ganzkörperfotografie, Videodermatoskopie und High-resolution-Dermatoskopie

  • 期刊论文

  • 发表日期：

    2025年8月28日

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  • S. Hobelsberger,
  • A.-T. Seitz

摘要

Background

The incidence of malignant melanoma has increased exponentially in recent decades. The combination of total body photography (TBP) and digital dermoscopy (DD) improved the early detection of melanoma in previous studies. Furthermore, the use of artificial intelligence (AI) can improve the diagnostic accuracy of dermatologists.

Objectives

In the present work, the applications of AI in TBP, DD, and high-resolution dermoscopy in clinical practice are evaluated.

Materials and methods

A literature review was conducted of previous studies on the use of TBP, DD, and high-resolution dermoscopy and the integration of AI in these devices for the early detection of melanoma.

Results and conclusion

The use of AI can improve the diagnostic accuracy of TBP, DD, and high-resolution dermoscopy. As most of the studies to date have been conducted in an artificial setting, more studies are needed to evaluate the potential use of AI in the clinical setting. In addition, staff must be trained and informed about the legal framework regarding the use of AI in everyday clinical practice.