Latest Research in Meta-analysis and systematic reviews
103 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Meta-analysis and systematic reviews
- Artificial Intelligence in Healthcare and Education — 16 papers
- Computation and Language — 15 papers
- Artificial Intelligence — 14 papers
- Meta-analysis and systematic reviews — 6 papers
- Topic Modeling — 6 papers
- Computer Vision and Pattern Recognition — 3 papers
- Biomedical Text Mining and Ontologies — 3 papers
- Human-Computer Interaction — 3 papers
- Machine Learning in Healthcare — 2 papers
- Explainable Artificial Intelligence (XAI) — 2 papers
Highest-Cited Papers
- Can Large Language Models Evaluate Grant Proposal Quality? Revisiting the Wennerås and Wold Peer Review Data (1 citations)
- Toward reviewable medical evidence synthesis for care delivery
- Assessing safety and trustworthiness of large language models in medicine
- Evaluating a Frozen LLM Configuration for Clinical-Guideline Literature Screening: A Protocol-Defined Validation Study
- Ethics in natural language processing: a systematic meta-analysis
- Evaluating a Frozen LLM Configuration for Clinical-Guideline Literature Screening: A Protocol-Defined Validation Study
- Comparative Analysis of Large Language Models in Interpreting Publication Research Ethics: Insights from COPE Forum Case Studies
- The evidence challenge facing large language models in medicine
- Large language models for literature screening in conceptually complex and interdisciplinary reviews
- Design of an English cross-scene model for enhanced mobile multimedia based on federated learning
- AI-Mediated Input Transformation in Medical English: Speech Recognition and Transcript Reliability
- Large language models for population-level public health communication: an evidence map of deployment, reach and policy gaps
- Retrieve-Then-Verify for Evaluating Evidence Support and Hallucination in Large Language Model–Generated Medical Information: Empirical Study
- Large language models for population-level public health communication: an evidence map of deployment, reach and policy gaps
- MOCC-R1: Reinforcing Reasoning-Response Consistency for Multimodal Counselor Response Generation
- Classifying 25 misinterpretations of statistical tests: a comparison of six large language models
- Can an LLM Agree with Itself? Repeatability and Reproducibility in Grant Screening
- Can an LLM Agree with Itself? Repeatability and Reproducibility in Grant Screening
- Cooperative Object Grasping and Transportation by Multi-agent Systems Considering Grasping Force Constraints
- Biomedical Reference Generation Remains Unreliable across 26 Large Language Models