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202P Multi-agent for clinical decision support in molecular tumor board
0
Zitationen
7
Autoren
2025
Jahr
Abstract
Automatization of the matching between patients and clinical trials or personalized therapies in oncology is an intense field of research. Existing AI solutions often use single types of data and achieve limited performance. We propose here to mimic expert reasoning by analysing multi data sources at once, including imaging, clinical narratives, protocols and the literature.
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