Navigating Teledermatology in the Post-COVID Era.

Area of Science:

• Dermatology
• Medical Informatics

Background:

• Teledermatology is expanding in European dermatology practices for patient triage, diagnosis, and optimizing clinical workflows.
• Despite its growth, the integration of artificial intelligence (AI) within teledermatology remains notably limited across the continent.

Purpose of the Study:

• To investigate the current adoption rates, challenges, and perceptions of artificial intelligence (AI) among European dermatologists practicing teledermatology.
• To identify key barriers hindering wider AI implementation in teledermatology and suggest strategies for improvement.

Main Methods:

• A survey was conducted among 252 dermatologists across Europe.
• The survey assessed the current utilization of teledermatology and AI tools, awareness of relevant guidelines, and perceived obstacles to AI adoption.

Main Results:

• Teledermatology usage for triage, diagnosis, and workflow optimization is variable among surveyed dermatologists.
• Significant gaps were identified in clinicians' awareness of existing guidelines for AI in teledermatology.
• Key concerns reported by dermatologists include data security, technical issues, and the need for robust regulatory frameworks.

Conclusions:

• Broader implementation of AI in European teledermatology requires significant enhancements in digital infrastructure.
• Addressing regulatory uncertainties and actively engaging clinicians are crucial steps to foster greater AI adoption.
• Strengthening guidelines and technical support will facilitate the effective integration of AI into dermatological care pathways.