MetaReview is a free, open-source online meta-analysis tool that combines PubMed literature search, AI screening and data extraction, effect-size calculation for OR/RR/HR/MD/SMD, forest and funnel plots, subgroup and sensitivity analysis, PRISMA flow diagrams and report export. It runs in the browser without R, Stata or RevMan. A comparison page states the tool is free.
Awesome Evidence Synthesis
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
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- open-source tools for systematic reviews, meta-analysis, and evidence synthesis Source: github.com
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MetaReview is a free, open-source online meta-analysis tool that combines PubMed literature search, AI screening and data extraction, effect-size calculation for OR/RR/HR/MD/SMD, forest and funnel plots, subgroup and sensitivity analysis, PRISMA flow diagrams and report export. It runs in the browser without R, Stata or RevMan. A comparison page states the tool is free.
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8bitconcepts is an embedded AI consulting practice that works inside operating businesses to ship AI workflow and process systems. It targets repetitive operations, support, data-preparation and review workflows, and publishes research papers and data snapshots alongside live AI products.
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0Explainpaper is a tool for reading research papers. Users highlight confusing text to get explanations, and can ask follow-up questions. It offers plans from a free tier to paid Pro and Teams options, with Pro including advanced AI models and clickable explanations for graphs, figures and equations.
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0A site offering short, easy-to-read summaries of popular AI papers, with each explained in about five minutes. Covered papers include DALL-E 2, Latent Diffusion Models, GLIDE, Make-A-Scene, CLIP-GEN, and FILM.
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0Google AI supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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0Microsoft Research publication proposing 18 generally applicable design guidelines for human-AI interaction. The guidelines were validated through evaluation rounds, including a user study with 49 design practitioners who tested them against 20 AI-infused products. The authors state the guidelines can serve as a resource for practitioners designing AI applications and for researchers developing interaction design guidelines.
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