Artificial intelligence in dermatology training: using Sora to create skin biopsy technique videos

Recent advancements in artificial intelligence (AI) have enabled the creation of highly realistic videos demonstrating skin biopsy techniques for dermatology education. This study evaluates the visual realism and clinical accuracy of AI-generated videos, highlighting their potential as educational tools while recognizing significant anatomical inaccuracies that currently limit their clinical reliability. Integration of expert clinical input is essential to optimize the use of such technologies in training environments.

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Publication Details

Journal
Clinical and Experimental Dermatology
Published
2025-12-20
DOI
https://doi.org/10.1093/ced/llaf559
Citations
1
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
1.05
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article

Artificial intelligence in dermatology training: using Sora to create skin biopsy technique videos

J G Gibson, E Deliyannis
1 citations
Clinical and Experimental Dermatology
Cutaneous Melanoma Detection and Management
1.05
article

Artificial intelligence in dermatology training: using Sora to create skin biopsy technique videos

J G Gibson, E Deliyannis
article en
1 citations

Abstract

Recent advancements in artificial intelligence (AI) have enabled the creation of highly realistic videos demonstrating skin biopsy techniques for dermatology education. This study evaluates the visual realism and clinical accuracy of AI-generated videos, highlighting their potential as educational tools while recognizing significant anatomical inaccuracies that currently limit their clinical reliability. Integration of expert clinical input is essential to optimize the use of such technologies in training environments.

Clinical and Experimental Dermatology
Queen Elizabeth Hospital Birmingham (GB), University of Birmingham (GB)
Quality Education
Openalex Percentile: Top 15%
Cutaneous Melanoma Detection and Management
1.05
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