Medical image foundation models can predict clinical phenotypes from computed tomography (CT), but strong performance leaves open whether they read disease-specific findings or shortcuts that correlate with the diagnosis. We tested this in 221 electronic-health-record (EHR) phenotypes using Auditable CT phenotyping (AC...
Riga Wu, W. Witschey, Yi-Cheng Li et al.· 0 citations
As the costs of genetic sequencing continue to drop and human genomic biobanks grow in scale, the challenge in genomics has shifted increasingly towards disentangling whether and how associated genetic variants cause disease. Clinical imaging in health-system-based biobanks provides quantitative physiological measures...
K. Keat, D.-Y. Zhang, L. Caruth et al.· medRxiv· 0 citations
Percival is introduced, a CT-native VLM trained on more than 400,000 CT-report pairs from the Penn Medicine BioBank using a dual-encoder symmetric contrastive framework, and evaluated against alternative foundation-model paradigms, indicating that CT-VLMs uncover latent structure aligned with clinical, physiological, a...
C. Beeche, Joonghyun Kim, H. Tavolinejad et al.· npj Digital Medicine· 1 citation
ETHOS (Ethics and Trust through Hierarchical Oversight System), a modular ethics framework designed as a governance meta-agent that can be integrated with any existing multi-agent system without requiring changes to its underlying architecture, is presented.
Rakesh Sharma, S. Pugh, C. Beeche et al.· 0 citations
This study shows that integrating plasma proteomics with multi-organ imaging provides a comprehensive pan-organ imaging-proteomics map and reveals molecular pathways linking circulating proteins to human organ biology.
Zi-Rui Fan, J. Chirinos, Xiao-Chen Yang et al.· Nature Communications· 0 citations
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