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Research Methodology - AI (177) Recommendation (12) Research Instruments, Questionnaires, and Tools (1205) Knowledge Translation and Implementation Science (786) Digital Health Reporting Standards, Quality and Transparency in e-Research (224) Artificial Intelligence (4798) Digital Health Meta-Research and Bibliographic Studies (119) Transparent Reporting (21)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80247, first published .
Tech professionals analyze global data network on futuristic interface

Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist

Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist

Authors of this article:

Dirk Holst1 Author Orcid Image ;   Keno Moenck1 Author Orcid Image ;   Julian Koch1 Author Orcid Image ;   Ole Schmedemann1 Author Orcid Image ;   Thorsten Schüppstuhl1 Author Orcid Image
Article Authors Cited by (19) Tweetations (53) Metrics

Journals

  1. Jay M, Morgan M, Straus S, Wilson E, Sutradhar R, Yu C, Gotlib Conn L, Dharma C, Lipscombe L, Eskander A. Evaluating the Methodological Quality of Artificial Intelligence–Assisted Systematic Reviews: Protocol for a Mixed Methods Meta-Research Study. JMIR Research Protocols 2026;15:e90588 View
  2. Leon C, Kudelka M. Auditing GenAI Literature Search Workflows: A Replicable Protocol for Traceable, Accountable Retrieval in Student-Facing Inquiry. AI in Education 2026;2(2):8 View
  3. Liebrand B, Braunhofer L, van der Weegen W, Vissers K, Van Goethem J, Van Zundert J, van den Boogaart M, van der Wal S. Accuracy in spinal level determination, including transitional vertebrae: an ASReview supported systematic review. European Spine Journal 2026 View
  4. Radeva I, Noncheva T, Doukovska L, Popchev I. Comparing Single-Agent and Multi-Agent Strategies in LLM-Based Title-Abstract Screening. Electronics 2026;15(8):1661 View
  5. Santhosh V, Vas R, Roychowdhury B, Sakthi K, Rahaman M. Development and content validation of the CAREFUL-AI framework for evaluating AI-generated scientific manuscripts: an exploratory cross-platform study. Research Evaluation 2026;35 View
  6. Jemioło P, Storman D, Sousa-Pinto B, Marques-Cruz M, Robinson K, Bala M. Reporting software tools and automation in the protocols of evidence syntheses: meta-research study. Journal of Clinical Epidemiology 2026;195:112275 View
  7. Mawhinney T, Morris M. ‘To Boldly Go…’ Guidance for Engineering Librarians Navigating the Landscape of Knowledge Synthesis. Science & Technology Libraries 2026:1 View
  8. Massara P, Kirkland J, Pagani I, Huey S, Hirsh H, McDonald D, Patel L, Finkelstein J, Gantz M, Wang F, Erickson D, Wells M, Elemento O, Knight R, Mehta S. Applying Artificial Intelligence and machine learning in precision nutrition. Nature Communications 2026;17(1) View
  9. Wu C, Hsu Y, Lai K, Chiang H. From Literature Evidence to SEM Candidate Model Generation: A Theory-Guided Workflow Integrating PICOC, Citation Searching, BERTopic, and Topic-to-Construct Mapping. Applied System Innovation 2026;9(7):149 View
  10. Peng W, Wang Z, Cui Z, Wang K, Fu X. Identifying, evaluating, and assessing the impact of airport hubs: A systematic review of quantitative indicators and methods. Research in Transportation Business & Management 2026;68:101806 View
  11. Tan C, Adams D, Ng D, Gao L. Artificial intelligence in systematic reviews and meta-analyses: capabilities and methodological and ethical considerations. Educational Research and Evaluation 2026:1 View
  12. Rezaei A, Kjærgaard M, Schipperijn J. Two Decades of Physical Activity Classification Algorithms: An Artificial Intelligence-Assisted Systematic Review by the LABDA Consortium. Journal for the Measurement of Physical Behaviour 2026;9(1) View
  13. Kahn M, Tepper K, Marmon S. Artificial intelligence in evidence synthesis: Benefits, limitations, and the importance of transparent reporting. Journal of the American Academy of Dermatology 2026 View
  14. Wang-Silvanto J, Jajoo M, Guo H, Ohri R, Nelissen J, Casañas i Comabella C. Evaluating AI Performance in Systematic Literature Reviews for HEOR: A Case Study. Journal of Health Economics and Outcomes Research 2026:46 View
  15. Wang-Silvanto J, Jajoo M, Guo H, Ohri R, Nelissen J, Casañas i Comabella C. Evaluating AI Performance in Systematic Literature Reviews for HEOR: A Case Study. Journal of Health Economics and Outcomes Research 2026;13(2) View
  16. Moher D, Page M, McKenzie J, Takwoingi Y, Mayo-Wilson E. PRISMA-trAIce: A Name Without Endorsement. JMIR AI 2026;5:e104210 View
  17. Muthu S, Kolarpatti Ponnusamy D, Viswanathan V, Rajappan Chandra S, Sharun K. A Locally Executed Agentic Artificial Intelligence Framework for Deduplication, Screening, and Structured Data Extraction in Spine Surgery Systematic Reviews. JBJS Open Access 2026;11(3) View
  18. Steijger D, Thissen S, Aarts S, Verbeek H, de Vugt M, Christie H. Performance of Two AI Approaches in ASReview Compared With Manual Screening for Dementia Care Literature Screening: Comparative Analysis. JMIR Formative Research 2026;10:e84989 View
  19. Jay M, Abi-Jaoude J, Straus S, Eskander A, Lipscombe L, Dharma C, Yu C. Moving towards acceleration with accountability: a conceptual framework for AI-assisted systematic reviews. Global Epidemiology 2026;12:100282 View