Medical leaders declare artificial intelligence has transitioned from experimental tools to core clinical strategy during UEG Week 2025 in Berlin. Speakers detailed how predictive modeling and big data are redefining hepatopancreatobiliary surgery.
Andrew Gumbs outlined the AiRGOS project, integrating radiomics and genomics to guide real-time surgical decisions. He noted that legal frameworks within the EU currently hinder cross-institutional data sharing despite available technology.
Carolin Schneider analyzed datasets from three million individuals to identify lifestyle risks in metabolic liver disease. Her research linked daily step counts and specific nutrient intake to reduced disease incidence. She warned of significant sex-based biases in current diagnostic algorithms.
Adrian Saftoiu demonstrated AI systems capable of guiding endoscopic ultrasound procedures. These tools match expert accuracy in identifying tumors without perceptible lag, though rigorous validation remains essential before widespread adoption.