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

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

Abstract

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.

Details

OriginalspracheDeutsch
Seiten (von - bis)677-682
Seitenumfang6
FachzeitschriftDie Dermatologie : Zeitschrift für Dermatologie, Venerologie und verwandte Gebiete
Jahrgang76
Ausgabenummer11
PublikationsstatusVeröffentlicht - Nov. 2025
Peer-Review-StatusJa

Externe IDs

Scopus 105014594345
ORCID /0000-0001-5703-324X/work/210355875

Schlagworte

Schlagwörter

  • Artificial Intelligence, Dermoscopy/methods, Early Detection of Cancer/methods, Humans, Melanoma/diagnosis, Photography/methods, Skin Neoplasms/diagnosis, Diagnostic accuracy, Malignant melanoma, High-resolution dermoscopy, Noninvasive imaging, Digital dermoscopy