ReviewDermatologie (Heidelberg, Germany)2025
[Artificial intelligence in total body photography, digital dermoscopy and high-resolution dermoscopy].
Review in Dermatologie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
2 authors.
Funding
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Abstract
backgroundThe 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.
objectivesIn the present work, the applications of AI in TBP, DD, and high-resolution dermoscopy in clinical practice are evaluated. MATERIALS AND
methodsA 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
conclusionThe 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.