Pan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing Robustness

ArXi:2605.07055v1 Announce Type: cross Foundation models (FMs) have shown great promise in medical imaging, but most FMs are trained on unimodal data within isolated domains, such as brain MRI alone. Human aging and disease arise through coordinated biological processes across organs, therefore motivating multimodal FMs that learn whole-body representations. A key challenge, however, is that real-world multimodal biomedical data are often missing not at random, which can reduce power, limit generalizability, and.