The RWE/Tech Working Group was established at the DIGICORE meeting at the Anatomical Museum in Utrecht in the fall of 2024. Following a year of collaborative development, we are proud to announce our first major milestone: the publication of a perspectives paper in ESMO Real World Data and Digital Oncology:

AI Assistance in Tumor Multidisciplinary Teams (2026). Remco Jan Geukes Foppen, Mindaugas Morkunas, Alberto Traverso, Rodrigo Dienstmann. Volume 11, March 2026, 100684

https://www.esmorwd.org/article/S2949-8201(26)00003-2/fulltext

This paper outlines a structured, multicentric roadmap for integrating AI into Tumor Multidisciplinary Teams (MDTs) to resolve current inefficiencies caused by manual data synthesis and static documentation. By transitioning AI—specifically NLP and Large Language Models (LLMs)—from simple assistive tools to integrated decision-making partners, the framework utilizes a tiered approach of optimized and foundational models to automate the extraction and synthesis of unstructured data. Ultimately, the next step for this international initiative is to bridge the gap between technical potential and clinical practice, providing a validated, explainable process for standardizing digital oncology workflows in the real world.

Call to Action: To ensure these AI frameworks are grounded in diverse clinical realities, we invite clinicians, researchers, and digital health experts to participate in the development and execution of a DIGICORE wide survey mapping current MDT operational processes. Your expertise is vital in identifying the specific bottlenecks and data workflows that will shape the next generation of digital oncology. Join us in defining the future of multidisciplinary care by contributing to this foundational mapping initiative.

Get Involved

If you wish to join RWE/Tech Working Group or wish to suggest collaborations, please express your interest by sending an email to remco.foppen@ifo.it, rita.silva@ipoporto.min-saude.pt, or info@digicore-cancer.eu.