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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Viewpoint and Opinions on Innovation in Medical Education (88) New Methods and Approaches in Medical Education (436) New Resources for Medical Education (135) Artificial Intelligence (2437) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (215)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58801, first published .
Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Authors of this article:

Ecem Ozkan1 Author Orcid Image ;   Aysun Tekin2 Author Orcid Image ;   Mahmut Can Ozkan1 Author Orcid Image ;   Daniel Cabrera3 Author Orcid Image ;   Alexander Niven4 Author Orcid Image ;   Yue Dong2 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

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  2. Ruan J, Tang Y, Wei Z, Xing W, Hu Y. Nurses’ Perspectives on Evidence Dissemination Barriers and Large Language Model–Based Support: Qualitative Study Using Focus Groups and Nominal Group Technique. Journal of Medical Internet Research 2025;27:e80289 View
  3. Raquepo T, Yamin M, Gettings M, Puducheri S, Tobin M, Won S, Cauley R. The Utility of ChatGPT for Medical Students on Plastic and Reconstructive Surgery Rotations. Aesthetic Plastic Surgery 2025 View
  4. Wang Q, Amugo I, Rajakaruna H, Irudayam M, Xie H, Shanker A, Adunyah S. Evaluating GPT-5 for Melanoma Detection Using Dermoscopic Images. Diagnostics 2025;15(23):3052 View
  5. Cinar E, Ozler E, Arslan S, Yilmaz S. Image-based nutritional assessment: Evaluating the performance of ChatGPT-4o on simple and complex meals. Journal of Food Composition and Analysis 2026;150:108843 View
  6. Amugo I, Frederickson K, Rajakaruna H, Xie H, Gangula P, Shanker A, Wang Q. Evaluation of GPT-5 in Periodontitis Staging and Grading: Retrospective Observational Study. JMIR Formative Research 2026;10:e88407 View
  7. Kim H, Lee K, Song C. Perceptions and Use of Generative AI among Physical Therapists and Physical Therapy Students: A Cross-Sectional Survey Study. Physical Therapy Rehabilitation Science 2026;15(1):116 View
  8. Shiukashvili N, Rochikashvili M, Kupradze V, Gonjilashvili N, Gvajaia N, Kutchava L, Janikashvili N, Tevzadze N, Undilashvili A, Ekaladze E. A Performance-Based Rubric for Generative AI use in Medical Students’ Research Tasks: Development and Initial Psychometric Evaluation. Journal of Medical Education and Curricular Development 2026;13 View
  9. Soares Alves Júnior J, Mota Alves T, Alves Raposo D, Vieira Sousa A, Pereira Negreiros J, Gomes Freire L, Valença Melo E, Santos Farias C. Desempenho de um chatbot clínico na interpretação de cineangiocoronariografia: análise comparativa com cardiologistas intervencionistas. Journal of Health Informatics 2026;18:1577 View
  10. Xia Y, Liu J, Wang K, Chen T, Gong X, Wu L, Zhuang Y. Toward an AI-integrated nursing curriculum: A Kano model analysis of generative AI competency needs. Nurse Education Today 2026;164:107133 View
  11. Alsayyari M, Alshurafa H, Abdelkader W, Alfallaj R, Alsaleh S. Diagnostic Performance of a Large Language Model (ChatGPT‐4o) in Chronic Rhinosinusitis CT Scan Interpretation. Laryngoscope Investigative Otolaryngology 2026;11(3) View
  12. Frederickson K, Adunyah S, Wang Q. Evaluation of GPT-5.2 for melanoma detection across skin tones. Frontiers in Medicine 2026;13 View