Federated Learning in Precision Oncology: Bridging Multi-Institutional Artificial Intelligence and Clinical Implementation
This commentary describes how FL is evolving into an essential component across all stages of the precision oncology process, including areas such as radiomics, digital pathology, genomics, multi-omics analysis, molecular tumor board decision-making, patient matching in clinical trials, and development of multimodal AI algorithms.