Vienna,

MedUni Vienna: AI in Dermatology Summit 2026

This is where clinicians, researchers and innovators meet to bridge expertise and build together the next generation of trustworthy AI-solutions for skin health.

Agenda (as of 18.11.2025)

Opening

  • Welcome address (Harald Kittler)
  • The AI-powered evolution of research and practice in dermatology: A look back at the past ten years (Allan C. Halpern)

Session 1: AI in clinical dermatology

  • Integrating AI into clinical workflows: Where we stand and what gaps remain (Josep Malvehy)
  • AI-assisted detection and early diagnosis of skin cancer (Victoria Mar)
  • Scaling dermatological care with AI: Mobile applications and virtual platforms (Tobias Sangers)
  • Beyond skin cancer: Applied AI support for inflammatory skin conditions (Alexander Navarini)
  • Discussion with the audience 

Session 2: Data, ethics and regulation

  • Data quality and annotation: Building robust datasets (Philipp Tschandl)
  • Inclusive AI in dermatology: Confronting bias and data gaps (Roxana Daneshjou)
  • Benchmarking and Validation: Standards for evaluating AI in dermatology (Veronica Rotemberg)
  • Trustworthy general-purpose AI: European and global perspectives (Matthias Samwald)
  • Discussion with the audience 

Session 3: Industry and innovation

  • Innovation Slam
  • Science Slam: Accepted conference papers
  • Building bridges between different perspectives: An interactive panel discussion with clinicians, innovators and industry representatives

Session 4: Technical advances and research frontiers

  • Geometric and Graph Deep Learning (TBA)
  • xLSTM for LLM development (Günter Klambauer)
  • Few shot, zero shot and continuous learning (Catarina Barata)
  • Multimodal AI: Combining images, text and clinical data (Zongyuan Ge)
  • Computational models/AI for epidemiologic questions (Nikolas Popper)
  • Discussion with the audience 

Closing: Bridging the gap

  • The role of AI in modern medicine: The perspective of a patient and philosopher (TBA)
  • Reflection machines for AI-human collaboration (Sabine Köszegi)
  • Bridging imaging phenotypes and biological mechanisms (Georg Langs)
  • Explainability and transparency for AI-driven Decision Making (Titus Brinker)
  • The AI-powered evolution of research and practice in dermatology: A look ahead to the next ten years (Allan C. Halpern)

Networking reception