Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62924, first published .
Use of SNOMED CT in Large Language Models: Scoping Review

Use of SNOMED CT in Large Language Models: Scoping Review

Use of SNOMED CT in Large Language Models: Scoping Review

Authors of this article:

Eunsuk Chang1 Author Orcid Image ;   Sumi Sung2 Author Orcid Image

Journals

  1. Sen C, DeMazumder D. Getting Started on Artificial Intelligence in Health Care and Clinical Research: Includes Rigor Checklist for Authors and Reviewers. Advances in Wound Care 2025 View
  2. Benson R, Kenny C, Ashraf Ganjouei A, Zhao M, Darawsheh R, Qian A, Hong J. Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research. JCO Clinical Cancer Informatics 2025;(9) View
  3. Kovalev R, Gribova V, Okun D. A Hybrid Approach to Developing Clinical Decision Support Systems for Treatment Planning and Monitoring. Systems 2025;13(10):920 View
  4. Laukvik L, Brandal A, Fossum M. Strukturerte og standardiserte data gir bedre sykepleiedokumentasjon. Sykepleien 2025;(101775):e View
  5. Sarvari P, Al-fagih Z, Abou-Chedid A, Jewell P, Taylor R, Imtiaz A. Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation. JMIR Biomedical Engineering 2025;10:e66691 View

Books/Policy Documents

  1. Sayyahi A, Alavi S, Jaderyan M. AI Model Design and Data Management for Disease Prediction. View