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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81597, first published .
Doctor analyzing medical scans on laptop surrounded by futuristic screens

Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review

Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review

Journals

  1. Zhang S, Lang X, Liu L, Chi H. From Variant Interpretation to Biomarker Translation: Multi‐omics Integration in Inherited Neuromuscular Diseases. Human Mutation 2026;2026(1) View
  2. Owusu S, Gil M, Tutu-Boahene B, Brew Y. Unlocking research output with ChatGPT- 4 and SciSpace Ai through the mediating and moderating roles of research orientation. Discover Artificial Intelligence 2026;6(1) View
  3. Roever L, Page M, Moher D. PRISMA 2020: strengthening transparency and usefulness of systematic reviews. Brazilian Journal of Anesthesiology (English Edition) 2026;76(6):844834 View
  4. Kim S. Evolution of evidence-based medicine: toward digital evidence ecosystems and artificial intelligence. Journal of Evidence-Based Practice 2026;2(2):56 View
  5. Nussbaumer-Streit B, Dobrescu A, Sharifan A, Klerings I, Neubauer-Bruckner C, Nowak C, Gartlehner G. LLM-based classifiers can reduce the proportion of records to screen with minimal loss of relevant studies: a case study. Journal of Clinical Epidemiology 2026;200:112517 View
  6. Han B, Mathrani A, Wanniarachchi V, Susnjak T. Evaluating prompting strategies and large language models in systematic literature review screening: Relevance and task-stage classification. Research Synthesis Methods 2026:1 View
  7. Wang Y, Zhang Y, Li N, He J. Automation and artificial intelligence in the clinical microbiology laboratory. Frontiers in Cellular and Infection Microbiology 2026;16 View

Books/Policy Documents

  1. Paz del Rio M, Aguilar Medrano F, Rivero Castedo L. Critical reading of scientific articles on health: A practical guide (Spanish Edition). View