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Applications of AI (302) Research Methodology - AI (42) Generative Language Models Including ChatGPT (749) Electronic Health Records (1339) Decision Support for Health Professionals (1574)

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 (22) Tweetations (13) Metrics

Journals

  1. Yang W, Some L, Bain M, Kang B. A comprehensive survey on integrating large language models with knowledge-based methods. Knowledge-Based Systems 2025;318:113503 View
  2. Liu Y, Zhou Y, Liu Y, Xu Z, He Y. Intelligent Fault Diagnosis for CNC Through the Integration of Large Language Models and Domain Knowledge Graphs. Engineering 2025;53:311 View
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  6. Hadweh P, Niset A, Salvagno M, Al Barajraji M, El Hadwe S, Taccone F, Barrit S. Machine Learning and Artificial Intelligence in Intensive Care Medicine: Critical Recalibrations from Rule-Based Systems to Frontier Models. Journal of Clinical Medicine 2025;14(12):4026 View
  7. Gou D, Luo X, Liu Z. Machine learning strategies for multi-label pre-diagnosis of diseases with superficial data. Computer Methods and Programs in Biomedicine 2025;269:108911 View
  8. Urda-Cîmpean A, Leucuța D, Drugan C, Duțu A, Călinici T, Drugan T. Assessing the Accuracy of Diagnostic Capabilities of Large Language Models. Diagnostics 2025;15(13):1657 View
  9. Lv J, Xu Y, Jiang M, Lv Y, Sun J, Lu J, Wang L, Wang H. A DeepSeek-powered locally deployed closed-loop system for enhancing quality control in electronic nursing documentation: development and clinical validation. Journal of the American Medical Informatics Association 2025;32(10):1526 View
  10. Li Q, Liu H, Guo C, Gao C, Chen D, Wang M, Gao F, van Harmelen F, Gu J. Reviewing clinical knowledge in medical large language models: Training and beyond. Knowledge-Based Systems 2025;328:114215 View
  11. Shih P, Oh D. Artificial Intelligence for Dermatological Image Quality Assessment. Current Dermatology Reports 2025;14(1) View
  12. Dobreva J, Karasmanakis I, Ivanisevic F, Horvat T, Kitanovski D, Gams M, Mishev K, Misheva M. RAGCare-QA: A benchmark dataset for evaluating retrieval-augmented generation pipelines in theoretical medical knowledge. Data in Brief 2025;63:112146 View
  13. Parker T, Brush B. An Overview of Artificial Intelligence in Neurology. Seminars in Neurology 2025 View
  14. Abo El-Enen M, Saad S, Nazmy T. A survey on retrieval-augmentation generation (RAG) models for healthcare applications. Neural Computing and Applications 2025 View
  15. Bharath M, Singh Raman R, Alankar A. The role of protein content in body fluids in magnesium alloy bioimplant degradation: A machine learning approach. Progress in Materials Science 2026;158:101636 View
  16. Hu Y, Xuan W, Zhou Q, Li Z, Li Y, Hu J, Fang F. A self-correcting Agentic Graph RAG for clinical decision support in hepatology. Frontiers in Medicine 2025;12 View
  17. Zeng Y, Xie H, Zhou X, Xu C, Jiang Y, Lau S. Developing a Nursing Research Education Agent Using Knowledge Graphs and Large Language Models. Nurse Educator 2026 View
  18. Mengmeng L, Tianxin L, Ju Z, Ye Y, Qian M, Yongning W, Ziqiang J, Xianming M. A Large-Scale Language Model Based System for Automated Generation of Offshore Wind Power Feasibility Study Reports. Marine Energy Research 2026;3(1):10001 View

Books/Policy Documents

  1. Leite M, Rb-Silva R, Guimarães N, Stork L, Jorge A. Progress in Artificial Intelligence. View
  2. Shi D, Diao X, Wu J, Wu H, Tang X, Naughton F, Bondaronek P. Efficient Medical Artificial Intelligence. View

Conference Proceedings

  1. Keerthana S, Kirthidevi S, Nandhana V. 2024 International Conference on Emerging Research in Computational Science (ICERCS). Revolutionizing Medical Inquiry Responses Harnessing Advanced Language Models for Enhanced Precision View
  2. Cogalan C, Kumluca Topalli A. 2025 Medical Technologies Congress (TIPTEKNO). Knowledge Graph Augmented Retrieval Applications in Healthcare View