Product: Rayyan.ai.
This article reviews Rayyan.ai, a web-based platform designed to support workflows in evidence synthesis, particularly systematic and scoping reviews. Rayyan.ai offers collaborative screening features, including blinded and unblinded review modes, and incorporates AI tools such as a Support Vector M...
| Publicado en: | Journal of the Canadian Health Libraries Association (JCHLA) Vol. 47; no. 2; pp. 45 - 51 |
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| Autor principal: | |
| Formato: | pictorial Journal Article |
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Canadian Health Libraries Association
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196678135&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196678135 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17086892 6DB jtl: Journal of the Canadian Health Libraries Association (JCHLA) issn: 17086892 maglogo: N pubinfo: dt: Aug2026 vid: 47 iid: 2 pid: 13747 pub: Canadian Health Libraries Association place: Toronto, Ontario artinfo: ui: 196678135 196678135 196678135 10.29173/jchla29964 196678135 ppf: 45 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Product: Rayyan.ai. aug: au: Kitchin, Vanessa affil: Knowledge Synthesis & Medical Librarian, University of British Columbia, Vancouver, BC, Canada sug: subj: Product Evaluation Artificial Intelligence World Wide Web Applications World Wide Web Information Retrieval Decision Support Systems, Management Machine Learning Mobile Applications ab: This article reviews Rayyan.ai, a web-based platform designed to support workflows in evidence synthesis, particularly systematic and scoping reviews. Rayyan.ai offers collaborative screening features, including blinded and unblinded review modes, and incorporates AI tools such as a Support Vector Machine–based prediction classifier, AI Reviewer, AI Analyzer, and AI-assisted data extraction. While the platform’s screening interface is user-friendly and accessible via free and paid tiers, its AI functionalities currently require substantial human oversight due to inconsistent data extraction, potential bias, and limited transparency, which may affect reproducibility and journal acceptance. Rayyan.ai is suitable for researchers, librarians, and students conducting evidence syntheses, but its AI features are best used as decision-support aids rather than replacements for independent human review. pubtype: Academic Journal doctype: pictorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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