This paper is in the following e-collection/theme issue:

Applications of AI (246) Research Methodology - AI (27) Generative Language Models Including ChatGPT (629) Electronic Health Records (1271) Decision Support for Health Professionals (1468)

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 (12) 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 View
  3. Zhang W, Wu M, Zhou L, Shao M, Wang C, Wang Y. A sepsis diagnosis method based on Chain-of-Thought reasoning using Large Language Models. Biocybernetics and Biomedical Engineering 2025;45(2):269 View
  4. Lin S, Duan Y, Zhou T, Liu X, Wang J. EHMQA-GPT: A Knowledge Augmented Large Language Model for Personalized Elderly Health Management. Information 2025;16(6):467 View
  5. Xu H, Wang Y, Xun Y, Shao R, Jiao Y. Artificial intelligence for clinical reasoning: the reliability challenge and path to evidence-based practice. QJM: An International Journal of Medicine 2025 View
  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 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

Books/Policy Documents

  1. Leite M, Rb-Silva R, Guimarães N, Stork L, Jorge A. Progress in 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