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

Tutorial (159) Organizational Issues (259) Theoretical Frameworks and Concepts (499) Machine Learning (2990) Data Science (668) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (145) AI Language Models in Health Care (656)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66100, first published .
Doctor typing on laptop, reviewing medical history form with stethoscope

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 (4) 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
  3. Almarhabi M, Hawkes C, Grosan C, Sonesson L. Virtual simulation in postgraduate healthcare education: Definitions, models, and applications in emergency medicine: A scoping review. Artificial Intelligence in Emergency Medicine 2026;2:100024 View
  4. Ben Dor B, Sonis S. Evolving Landscape for Artificial Intelligence in the Diagnosis and Histopathologic Assessment of Oral and Oropharyngeal Cancer. Head and Neck Pathology 2026;20(1) View