Synergy vs. Noise: Performance-Guided Multimodal Fusion For Biochemical Recurrence-Free Survival in Prostate Cancer

- The study on multimodal deep learning (MDL) highlights its potential in predicting biochemical recurrence-free survival in prostate cancer by integrating histopathology, radiology, and clinical data. The research confirms that combining high-performing modalities leads to better predictive outcomes compared to unimodal approaches. This development is significant as it underscores the importance of modality quality in MDL, suggesting that careful selection of data sources is crucial for improving predictive accuracy in clinical settings.