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

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. Application of ChatGPT to Geriatric Practice and Education -An Exploratory Study on ChatGPT’s Geriatric Attitude, Knowledge, and Clinical Application (Preprint). JMIR Formative Research 2024 View