Generative Artificial Intelligence (AI) in Chronic Dermatophytosis Patient Counseling: A Viable Alternative?

Area of Science:

• Dermatology
• Medical Informatics
• Artificial Intelligence

Background:

• Dermatophytosis significantly impacts patient quality of life due to treatment non-compliance and recurrence.
• Inadequate patient education is a key factor contributing to poor treatment adherence in fungal skin infections.

Purpose of the Study:

• To explore the potential of generative Artificial Intelligence (AI) in improving patient counseling for dermatophytosis.
• To assess how AI-driven personalized information can enhance treatment adherence and patient outcomes.

Main Methods:

• Review of current challenges in dermatophytosis patient education and adherence.
• Analysis of generative AI capabilities for delivering personalized and consistent health information.
• Conceptual framework for integrating AI into physician-led patient counseling.

Main Results:

• Generative AI can provide accessible, tailored information to patients, addressing educational gaps.
• AI support can augment physician counseling, leading to more consistent patient guidance.
• Personalized AI-driven education has the potential to improve compliance and reduce dermatophytosis recurrence.

Conclusions:

• Generative AI presents a promising tool to enhance patient education and counseling in managing dermatophytosis.
• Integrating AI can improve treatment adherence, leading to better clinical outcomes and quality of life for patients with fungal infections.