Objective:

To evaluate the quality of responses generated by ChatGPT regarding sun protection and skin cancer prevention by comparing them to American Academy of Dermatology (AAD) guidelines.

Approach:

• Study Design: Descriptive content analysis comparing AI-generated responses to established clinical guidelines using an author-developed assessment framework covering accuracy, completeness, clarity, and relevance.
• Prompt Development: Nine specific questions related to sun protection and skin cancer prevention were developed and presented to ChatGPT without modifications.
• Prompt Administration: All questions were submitted in a single session on May 13, 2025, using the free-tier ChatGPT interface, with the memory function enabled.

Key Findings:

• Skin cancer incidence is increasing globally, with melanoma cases projected to rise significantly by 2040.
• The study evaluates the quality of responses generated by ChatGPT regarding sun protection and skin cancer prevention.

Interpretation:

The study provides insights into the utility and limitations of AI-generated dermatological guidance in relation to established clinical standards.

Limitations:

• The study relies on a limited set of questions and responses from a single AI model.
• Potential biases in AI-generated content and the need for further evaluation of accuracy and clinical relevance.

Conclusion:

The study emphasizes the need for evaluating AI-generated health information against established guidelines.

Sources:

• Epidemiology of skin cancer
• Global burden of skin cancer
• Patterns and trends in melanoma mortality
• Ultraviolet radiation exposure
• Sun-protective behaviors
• Impact of ChatGPT in dermatology
• Using ChatGPT for patient education
• Evaluation of AI-generated dermatological content
• Standardized reporting of generative AI studies