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

Decision Support for Health Professionals (1594) Clinical Information and Decision Making (2007) Artificial Intelligence (2252) Clinical Informatics (1381) Advanced Data Analytics in eHealth (225) ENT (Ear, Nose, Throat) (37) Tools, Programs and Algorithms (394)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57678, first published .
Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study

Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study

Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study

Authors of this article:

Ziming Yin1 Author Orcid Image ;   Zhongling Kuang1 Author Orcid Image ;   Haopeng Zhang2 Author Orcid Image ;   Yu Guo2 Author Orcid Image ;   Ting Li1 Author Orcid Image ;   Zhengkun Wu1 Author Orcid Image ;   Lihua Wang2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  1. Zhao Y. Integrated and Innovative Application of Artificial Intelligence and Big Data Technologies for STEM Education. Applied Mathematics and Nonlinear Sciences 2024;9(1) View
  2. Frosolini A, Franz L, Caragli V, Genovese E, de Filippis C, Marioni G. Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions. Sensors 2024;24(22):7126 View
  3. Cui H, Zhu X, Zhang W, Piao M, Peng Y. From knowledge silos to integrated insights: building a cardiovascular medication knowledge graph for enhanced medication knowledge retrieval, relationship discovery, and reasoning. Frontiers in Cardiovascular Medicine 2025;12 View
  4. Parveen F, Ahmed K, Ansari A, Kabiruddin A, Ahmed N, Akhlaq S, Selvaradjou S. Reviving classical Bawl (urine) diagnostics in Unani medicine via artificial intelligence and digital tools: toward integrative informatics for traditional systems. Digital Chinese Medicine 2025;8(3):313 View
  5. Guo P, Jiang M, Hu S, Jiang Q, Li L, Wu J, Ma Y, Wu Z. Advancing the modernization of traditional Chinese medicine through artificial intelligence and multimodal data integration. Chinese Medicine 2026;21(1) View