Events

Clinical AI Day

A Networking Event to Coordinate and Showcase the Clinical AI Activities on Our Campus


We are excited to announce our upcoming networking event in Dresden, sponsored by EKFZ, CeTI and SECAI. This Event is dedicated to fostering collaboration and innovation in the field of clinical Artificial Intelligence (AI).

The event will feature insightful talks and discussions on the latest developments and challenges in clinical AI. Topics will span various applications and the translation into clinical practice, covering areas such as surgical oncology, surgical data science, medical image analysis, large language models, clinical diagnosis, and regulatory sciences.

The event aims to showcase the Clinical AI Hotspot Dresden, with a focus on transformative AI applications in medicine. Join us for a day full of networking and learning about the latest developments in clinical AI and its translation into the clinic.

Clinical AI Hotspot in Dresden

Date: 12 April 2024
Time: 10:00 am – 5:00 pm
Venue: MTZ (house 91) | Fiedlerstraße 42, 01307 Dresden
Language: English
Register now (no fee)


Limited to 150 seats. Register early to secure your spot.

Organizer: Medical Faculty of TU Dresden

10:00 – 10:15 Welcome

  • Prof. Stefanie Speidel / Prof. Jakob Kather
  • Prof. Dr. med. Dr. Esther Troost (Dean of the Faculty of Medicine at TU Dresden)
  • Prof. Dr. med. D Michael Albrecht (CEO at University Hospital Dresden Carl Gustav Carus)


10:15 – 11:30 Clinical AI Hotspot Dresden: Insights and Research Perspectives

  • Prof. Marius Distler: AI-supported Surgical Skill Assessment and Intraoperative Guidance
  • Dr. med. Jan Moritz Middeke:  AI for improved diagnosis and risk stratification in leukemia    
  • Lisa-Marie Lüneburg (veiio Project Lead): Unlocking remote physiotherapy: veiio's AI-based approach for vibrotactile motion guidance and its challenges
  • Dr. Anna Poetsch: Deciphering the Genetic Code for Genome Instability using DNA language models
  • Dr. med. Marie-Elisabeth Leßmann: Large language models in clinical research
  • Prof. Martin Wagner: Using ML in Surgical Quality Assessment


11:30 – 12:00 Coffee-Break & Demos


12:00 – 13:00 Resume of BMG-Sponsored Projects

  • Dr. Ronald Werner: KISN AI from Saxony (SMWK, Head of Division)
  • Nick Schneider: Current Digital Policy Initiatives of the Federal Ministry of Health (BMG, Head of Division)
  • Prof. Stefanie Speidel: BMG-Project SurgOmics – Personalized Prediction of Life-threatening Complications in Surgery through Machine Learning from Multimodal Process Data
  • Prof. Jakob N. Kather: BMG-Project DEEP LIVER – Diagnosis and Risk Stratification of Liver Diseases Using Deep Learning Based on Routine Clinical Data


13:00 – 14:30 Lunch-Break & Demos


14:30 – 15:15 Clinical AI Hotspot Dresden: Generating a Supporting Framework

  • Prof. Stephen Gilbert: Regulatory Challenges of Translating AI into Clinical Practice
  • Prof. Martin Sedlmayr: Interoperability and data as a prerequisite for AI


15:15 – 15:45 Keynote

  • Priv.-Doz. Dr. med. Dipl.-Phys. Daniel Truhn: Artificial Intelligence - the Beauty and the Beast


15:45 – 16:30 Panel Discussion

  • Needs, Impact and Opportunities of Clinical AI Hotspot Dresden
  • Transforming medicine by AI


16:30 – 17:00 Free Networking with Coffee & Demos

Download program

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Philippe Fanghänel
Phone: +49 351 458-5572                                    
E-Mail: philippe.fanghaenel@nct-dresden.de