Challenges in integrating multimodal cancer AI models in clinical practice
Автор: VJOncology
Загружено: 2025-12-01
Просмотров: 18
Jana Lipkova, PhD, University of California, Irvine, CA, provides an overview of the challenges associated with training models and building large multimodal datasets, highlighting the difficulties of integrating different modalities and handling missing and incomplete data. Multimodal data integration is a significant challenge that requires robust approaches to overcome, and there are also concerns that multimodal data fusion may exacerbate disparities between patients if it relies on expensive tests that are not universally available. This interview took place at the 2025 European Society for Medical Oncology (ESMO) AI & Digital Oncology Congress in Berlin, Germany.
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