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Medically underserved areas (MUAs) are associated with higher rates of hospitalizations and mortality. Although structured remote management (RM) programs demonstrated clinical benefits, their effectiveness in MUAs in Europe remains scarcely investigated.

Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Models (LLMs) have shown capabilities in medical reasoning, their ability to approximate complex, integrative decision-making in oncology remains underexplored.