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Author

Xiaoqian Jiang

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#generative ai Open access Oct 2026

A Synthetic Multi-modal Dataset for Type 2 Diabetes

Abstract Type 2 diabetes mellitus (T2DM) is a widespread chronic disease that impacts multiple organ systems. Artificial intelligence (AI) has shown promise in advancing type 2 diabetes mellitus (T2DM) research by enabling the integrated analysis of complex, multimodal data. However, progress is constrained by limited...

Nicholas J. Jackson, Natalia Espinosa-Dice, Chao Yan et al. · 0 citations
#federated learning Open access Oct 2026

D3MI: an efficient and powerful federated imputation method for bias reduction in the analysis of distributed incomplete data by accounting for within-site correlation and between-site heterogeneity

BACKGROUND: Electronic health records (EHRs) collected from diverse healthcare institutions offer a rich and representative data source for clinical research. Federated learning enables analysis of these distributed data without sharing sensitive patient-level information, preserving privacy. However, missing data rema...

Yi Lian, Xiaoqian Jiang, Qi Long · 0 citations
#explainable ai Review Open access Sep 2026

A medically grounded LLM agent–based tool to detect patient safety events in medical records

SAFE–AI (Structured and Automated Framework for Explainable AI), a novel method for clinical decision making that combines the strengths of clinical expert knowledge with LLMs in an ontology–driven model that minimizes hallucinations using strict rules, is presented.

Diego Trujillo, Du-Lin Wang, Nathan Bahr et al. · 0 citations

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