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

Generative Language Models Including ChatGPT (708) Clinical Information and Decision Making (1915) Ontologies, Classifications, and Coding (324) Machine Learning (2076) Artificial Intelligence (2129) Chatbots and Conversational Agents (740) Natural Language Processing (917) Dementia and Cognitive Decline (696)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51501, first published .
Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Authors of this article:

Changyu Wang1, 2 Author Orcid Image ;   Siru Liu3 Author Orcid Image ;   Aiqing Li4 Author Orcid Image ;   Jialin Liu1, 5, 6 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. Berisha V, Liss J. Responsible development of clinical speech AI: Bridging the gap between clinical research and technology. npj Digital Medicine 2024;7(1) View
  2. Zahavi I, Ben Shitrit I, Einav S. Using augmented intelligence to improve long term outcomes. Current Opinion in Critical Care 2024;30(5):523 View
  3. Fei X, Tang Y, Zhang J, Zhou Z, Yamamoto I, Zhang Y. Evaluating cognitive performance: Traditional methods vs. ChatGPT. DIGITAL HEALTH 2024;10 View
  4. Zaghir J, Naguib M, Bjelogrlic M, Névéol A, Tannier X, Lovis C. Prompt Engineering Paradigms for Medical Applications: Scoping Review. Journal of Medical Internet Research 2024;26:e60501 View
  5. Yang X, Li T, Su Q, Liu Y, Kang C, Lyu Y, Zhao L, Nie Y, Pan Y. Application of large language models in disease diagnosis and treatment. Chinese Medical Journal 2025;138(2):130 View
  6. Su H, Sun Y, Li R, Zhang A, Yang Y, Xiao F, Duan Z, Chen J, Hu Q, Yang T, Xu B, Zhang Q, Zhao J, Li Y, Li H. Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis. Journal of Medical Internet Research 2025;27:e72062 View
  7. Alkalbani A, Alrawahi A, Salah A, Haghighi V, Zhang Y, Alkindi S, Sheng Q. A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions. Information 2025;16(6):489 View
  8. Liu J, Liu F, Wang C, Liu S. Prompt Engineering in Clinical Practice: Tutorial for Clinicians. Journal of Medical Internet Research 2025;27:e72644 View
  9. Maiorana N, Marceglia S, Treddenti M, Tosi M, Guidetti M, Creta M, Bocci T, Oliveri S, Martinelli Boneschi F, Priori A. Large Language Models in Neurological Practice: Real-World Study. Journal of Medical Internet Research 2025;27:e73212 View
  10. Peled-Cohen L, Reichart R. A Systematic Review of NLP for Dementia: Tasks, Datasets, and Opportunities. Transactions of the Association for Computational Linguistics 2025;13:1204 View
  11. Zarei O, Talebi moghaddam M, Moradi Vastegani S. Machine learning and deep learning in clinical practice: Advancing neurodegenerative disease diagnosis with multimodal markers. Brain Research Bulletin 2026;234:111667 View

Conference Proceedings

  1. Li J, Li Y, Wang Y, Wu X, Meng H. 2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP). Devising a Set of Compact and Explainable Spoken Language Feature for Screening Alzheimer's Disease View