We are delighted to share that paper from our consortium, "Addressing Incomplete Data in Survival and Quality of Life Prediction: A Pancreatic Cancer Case Study," has received the Best Paper Award at the 24th International Conference on Artificial Intelligence in Medicine (AIME 2026), held in Ottawa, Canada.

This work introduces a novel AI framework that jointly predicts patient survival and quality of life despite incomplete real-world clinical data. The approach combines a Missingness-Avoiding Random Survival Forest (MA-RSF) with a conditional diffusion model to address missing baseline information and sparse longitudinal patient-reported outcomes. Evaluated on a nationwide Dutch pancreatic cancer cohort, the framework achieved accurate survival prediction while improving quality-of-life trajectory forecasting, supporting more reliable and personalised clinical decision-making.

Link to the paper: https://link.springer.com/chapter/10.1007/978-3-032-30710-1_4

Link to post: https://florisdh.nl/posts/aime26/

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