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.· Scientific Data· 0 citations
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· BMC Medical Informatics and...· 0 citations
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.· PLOS Digital Health· 0 citations
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