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

Methodological Innovations (30) Chatbots and Conversational Agents (623) Generative Language Models Including ChatGPT (477) Artificial Intelligence (1700) Digital Health Reporting Standards, Quality and Transparency in e-Research (95)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54704, first published .
A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review

A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review

A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review

Authors of this article:

Malik Sallam1, 2, 3 Author Orcid Image ;   Muna Barakat4 Author Orcid Image ;   Mohammed Sallam5 Author Orcid Image
Article Authors Cited by (20) Tweetations (2) Metrics

Journals

  1. Sallam M, Barakat M, Sallam M. A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review. Interactive Journal of Medical Research 2024;13:e54704 View
  2. Rentiya Z, Mandal S, Inban P, Vempalli H, Dabbara R, Ali S, Kaur K, Adegbite A, Intsiful T, Jayan M, Odoma V, Khan A. Revolutionizing Breast Cancer Detection With Artificial Intelligence (AI) in Radiology and Radiation Oncology: A Systematic Review. Cureus 2024 View
  3. Guerra R. Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes. Italian Journal of Medicine 2024;18(2) View
  4. Joseph J, Jose A, Ettaniyil G, S J, Jose J. Mapping the Landscape of Electronic Health Records and Health Information Exchange Through Bibliometric Analysis and Visualization. Cureus 2024 View
  5. Yilmaz Muluk S. Enhancing Musculoskeletal Injection Safety: Evaluating Checklists Generated by Artificial Intelligence and Revising the Preformed Checklist. Cureus 2024 View
  6. Yilmaz Muluk S, Olcucu N. Comparative Analysis of Artificial Intelligence Platforms: ChatGPT-3.5 and GoogleBard in Identifying Red Flags of Low Back Pain. Cureus 2024 View
  7. Alnaimat F, Al-Halaseh S, AlSamhori A. Evolution of Research Reporting Standards: Adapting to the Influence of Artificial Intelligence, Statistics Software, and Writing Tools. Journal of Korean Medical Science 2024;39(32) View
  8. Yilmaz Muluk S, Olcucu N. The Role of Artificial Intelligence in the Primary Prevention of Common Musculoskeletal Diseases. Cureus 2024 View
  9. Sallam M, Al-Mahzoum K, Alshuaib O, Alhajri H, Alotaibi F, Alkhurainej D, Al-Balwah M, Barakat M, Egger J. Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic. BMC Infectious Diseases 2024;24(1) View
  10. Sallam M, Al-Mahzoum K, Almutawaa R, Alhashash J, Dashti R, AlSafy D, Almutairi R, Barakat M. The performance of OpenAI ChatGPT-4 and Google Gemini in virology multiple-choice questions: a comparative analysis of English and Arabic responses. BMC Research Notes 2024;17(1) View
  11. Sallam M, Al-Salahat K, Eid H, Egger J, Puladi B. Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions. Advances in Medical Education and Practice 2024;Volume 15:857 View
  12. Tam T, Sivarajkumar S, Kapoor S, Stolyar A, Polanska K, McCarthy K, Osterhoudt H, Wu X, Visweswaran S, Fu S, Mathur P, Cacciamani G, Sun C, Peng Y, Wang Y. A framework for human evaluation of large language models in healthcare derived from literature review. npj Digital Medicine 2024;7(1) View
  13. Cheng H. ChatGPT’s Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study. JMIR Formative Research 2025;9:e63494 View
  14. Ho C, Tian T, Ayers A, Aaron R, Phillips V, Wolf R, Mathioudakis N, Dai T, Klonoff D. Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review. BMC Medical Informatics and Decision Making 2024;24(1) View
  15. Muluk E. A Comparative Analysis of Artificial Intelligence Platforms: ChatGPT-4o and Google Gemini in Answering Questions About Birth Control Methods. Cureus 2025 View
  16. Yılmaz Muluk S, Altuntaş V, Duman Şahin Z. A New Approach: Generative Artificial Intelligence in Physiatry Resident Education. Medical Records 2025;7(1):120 View
  17. Wen D, Shaari S, Chin C, Er Z, Tao S, Fei D. Imagining Reality: Bosch's Vision of 15th-Century Dutch Art in Reflection of SDG and Cultural Sustainability. Journal of Lifestyle and SDGs Review 2025;5(2):e04109 View
  18. Gotlib-Małkowska J, Cieślak I, Jaworski M, Panczyk M. Evidence-based advanced prompt engineeringin nursing research: quality analysisof ChatGPT-generated Boolean search query. Pielegniarstwo XXI wieku / Nursing in the 21st Century 2025;24(1):9 View
  19. Puce L, Bragazzi N, Currà A, Trompetto C. Harnessing Generative Artificial Intelligence for Exercise and Training Prescription: Applications and Implications in Sports and Physical Activity—A Systematic Literature Review. Applied Sciences 2025;15(7):3497 View

Books/Policy Documents

  1. Ramesh J, Talukdar V, Kurniullah A, Jain S, Anand R, Gupta A. Revolutionizing Healthcare 5.0: The Power of Generative AI. View