 (HAICON25 Poster) Multi-center Collaboration for Improved Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma
    (HAICON25 Poster) Multi-center Collaboration for Improved Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma
  From 3–5 June 2025, David attended the Helmholtz AI Conference 2025 (“HAICON25”) at Messe Karlsruhe, Germany. The Helmholtz AI Conference 2025: AI for Science brought together over 600 researchers, industry practitioners, and students from across Europe to explore cutting-edge applications of artificial intelligence in the sciences—featuring inspiring keynotes, focused sessions, poster, and interactive networking events.'
Over three days of full-track sessions, I had the opportunity to present and discuss our work on Multi-center Collaboration for Improved Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma. Expanding our previous, with the new retrospective multicenter cohort of 652 PDAC patients (391 with lymph node metastases; 59.97 %), we incorporated two additional German data sources; University Medicine Berlin (BER) and University Medical Center Göttingen (GÖT), providing a more rigorous testbed for our two-stage deep learning framework.
While these results underscore the power of combining automated segmentation priors with clinical features for enhanced LNM detection, the center-specific variability also reinforces the necessity of external validation and domain-adaptation strategies to ensure robust, generalizable performance before clinical deployment.
David also engaged in interactive formats such as the AI World Café, and the Pitch & Networking Event, and gain new perspectives from other disciplines which sparked cross-disciplinary interest. Overall, HAICON25 provided an valuable forum for exchanging ideas with peers in both academic and industrial AI, and for exploring new partnerships that will drive our research forward. I am already looking forward to next year’s meeting, and to applying the insights gained toward our ongoing projects in medical imaging and beyond. – David