Perspectives on Artificial Intelligence in Dermatology: An International Cross-Sectional Study

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.