[Replay]- AI & Innovation: Shaping the Future of Healthcare

What you'll learn:

Drawing on digital biomarker research, multimodal data integration, and regionally networked care models, this presentation explores how AI can augment rather than replace dermatological expertise. 

Central themes include :

• Real-world implementation of AI tools 
• The role of wearables and remote monitoring in precision dermatology
• The empathic dimension of care that no algorithm can replicate. 

What you'll learn:

• How artificial intelligence is currently being used in healthcare and what clinicians can realistically expect in the near future. Drawing on frontline clinical experience and real-world AI deployments
• How machine learning and large language models are influencing diagnosis, workflow, research, and patient engagement.
• The opportunities AI creates, the limitations that remain, and the risks of over-automation. Particular emphasis will be placed on trust, safety, explainability, and the essential role of clinician oversight.
• How AI can augment—rather than replace—clinical judgment and patient care.

What you'll learn:

• Melanoma is rising among young Europeans while compliance with sun protection remains low, especially in 16–34-year-olds.  
• A simple web tool that estimates individual photoaging risk based on clinical and lifestyle factors has been developed.  
• By making photoaging risk visible and personalized, this tool aims to improve sun-protection behaviors in younger populations 

Watch the video