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Open access Jul 2025

An open vision-language model for diverse medical applications

Artificial intelligence has high potential for impact in healthcare applications, but its training and deployment are challenging due to diverse data, a complex spectrum of possible tasks and important privacy needs. High-performing foundation models that enable data-efficient fine-tuning for diverse downstream tasks c...

Andrew B. Sellergren, S. Kazemzadeh, Fereshteh Mahvar et al. · 530 citations · ⚡84
Review Open access Aug 2026

Machine Learning-Based Prediction of Maternal Morbidity across Heterogeneous Populations in the United States using Sequential Modeling of the All of Us Dataset

In this work, we demonstrate the unprecedented value of NIH's "All of Us Research Program" (AoURP) dataset in studying maternal morbidity and building predictive machine learning (ML) models across heterogeneous populations in the United States. We developed robust and data-driven preprocessing pipelines to curate a lo...

H. Zhuang, A. Zakama, K. Heller et al. · 0 citations

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