Establishing a seamless clinical data sharing system in a new medical school in partnership with community health systems.
We assessed the accuracy of EHR data for specific CV conditions based on EHR data compared with manual chart review.
we propose a relational, deep heterogeneous network learning method that operates on EHR data and addresses its limitations…
constructed a PubMed knowledge graph (PKG) by extracting bio-entities from 29 million PubMed abstracts…
we proposed a novel framework that leverages radiomics features and contrastive learning to detect pneumonia in chest X-ray
This paper proposes a new bibliometric understanding of persistence that considers the prominent role of collaboration in contemporary science
Combine data on AI from arXiv and Semantic Scholar to explore the pace of AI innovations from three perspectives: AI publications, AI players, and AI updates (trial and error).
An entity–entity co-occurrence network and employ network indicators analyze the extracted entities.
Develop an integrative understanding of the impact of two diffusion channels (i.e., broadcasting vs virality) on innovation adoption.
