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

Tutorial (83) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (104) AI Language Models in Health Care (249) Data Science (390) Organizational Issues (235) Theoretical Frameworks and Concepts (375) Machine Learning (2235)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66100, first published .
AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations

AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations

AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations

Authors of this article:

Bo Cao1, 2, 3 Author Orcid Image ;   Russell Greiner1, 2, 4 Author Orcid Image ;   Andrew Greenshaw1 Author Orcid Image ;   Jie Sui5 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Gangwal A, Lavecchia A. IMPACT Framework: Establishing Global Standards for Artificial Intelligence Implementation, Methodology, and Translation in Drug Discovery. WIREs Computational Molecular Science 2026;16(2) View
  2. Thongprayoon C, Pesce F, Cheungpasitporn W. Clinical Artificial Intelligence Agents in Nephrology: From Prediction to Action Through Workflow-Native Intelligence—A Roadmap for Workflow-Integrated Care. Journal of Clinical Medicine 2026;15(7):2576 View