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Perspectives on Artificial Intelligence in Dermatology: An International Cross-Sectional Study
Emmanouil Karampinis1,2, Christina-Marina Zoumpourli3, Aimilios Lallas4
1Second Dermatology Department, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Artificial intelligence (AI) is increasingly used in dermatology, with most dermatologists adopting large language models (LLMs) like chatbots. Regulatory concerns, not technical limits, currently shape AI
Area of Science:
- Dermatology
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is rapidly integrating into dermatology.
- Perceptions of AI in clinical practice vary, encompassing hopes, concerns, and utility.
- Understanding AI adoption patterns and dermatologist perspectives is crucial.
Purpose of the Study:
- To survey dermatologists globally on their use and perceptions of AI in clinical practice.
- To identify the types of AI tools being utilized and their applications.
- To explore expected benefits, concerns, and training needs related to AI in dermatology.
Main Methods:
- A survey was distributed to 300 dermatologists across 13 countries.
- Participants represented diverse experience levels and AI usage statuses.
- Data collected included AI tool usage, perceived benefits, concerns, and training requirements.
Main Results:
- 61.33% of surveyed dermatologists reported using AI tools in practice.
- Large language models (LLMs), particularly chatbots, were the most common AI tools (58.15% of users).
- Improved diagnostic accuracy was the top expected benefit, while regulatory/ethical issues were primary concerns.
Conclusions:
- AI adoption in dermatology is widespread across demographics, but primarily driven by LLMs.
- Regulatory and ethical considerations are key barriers to AI integration, outweighing technical challenges.
- There is a significant need for formal AI training in medical education, with non-users showing greater caution regarding consent forms.
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