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Applications of AI (363) Decision Support for Health Professionals (1662) Electronic Health Records (1396) Research Methodology - AI (53) Generative Language Models Including ChatGPT (854)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58670, first published .
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

Authors of this article:

Yanjun Gao1, 2 Author Orcid Image ;   Ruizhe Li3 Author Orcid Image ;   Emma Croxford2 Author Orcid Image ;   John Caskey2 Author Orcid Image ;   Brian W Patterson2 Author Orcid Image ;   Matthew Churpek2 Author Orcid Image ;   Timothy Miller4 Author Orcid Image ;   Dmitriy Dligach5 Author Orcid Image ;   Majid Afshar2 Author Orcid Image
Article Authors Cited by (42) Tweetations (13) Metrics

Journals

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  25. Yang Y, Gao B, Tan C, Zhu C, Yuan P, Xie P, Gu Y, Liu H. CTKGR: temporal knowledge graph enhanced prediction of in-hospital events for pneumonia patients using electronic health records. Journal of Biomedical Informatics 2026;177:105007 View
  26. Yokotani K, Jikihara Y, Koiwa K. Knowledge graphs based on meta-analysis papers improve the quality of case formulation: a mixed methods design (Preprint). JMIR Formative Research 2025 View
  27. Banerjee A, Roy A. Detecting Role Impersonation in AI-Generated Clinical Oncology Text Using Knowledge Graphs. IEEE Pulse 2025;16(6):75 View
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  29. Majeed Alneamy J, Saheb N, Ahmed AlTaei M, Baloul F. Biomedical Knowledge Graph Embeddings with Transformers for Clinical Question Answering Systems. Procedia Computer Science 2026;275:575 View
  30. Lee W, Kim J, Leem J, Lee B, Lee S, Kim Y. Benchmark Evaluation of a Tool-Augmented Large Language Model Agent Using Traditional Asian Medicine Metadata. Applied Sciences 2026;16(7):3377 View
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Books/Policy Documents

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  2. Shi D, Diao X, Wu J, Wu H, Tang X, Naughton F, Bondaronek P. Efficient Medical Artificial Intelligence. View

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