Rayyan

Import relevant articles from PubMed, Web of Science, and Scopus into Rayyan.

Use automated deduplication to remove duplicate entries.

Apply filters based on keywords and publication dates to narrow down the relevant articles.

Screen the abstracts and titles using AI-powered suggestions to identify key studies.

Export the list of relevant studies for inclusion in the grant proposal.

Import clinical trial data from various databases such as Cochrane Library and PubMed.

Use automated deduplication to remove duplicate entries.

Apply inclusion and exclusion criteria to filter the articles.

Screen the abstracts and full texts of the studies.

Extract relevant data using PICO extraction.

Generate PRISMA flow diagram.

Synthesize the findings and prepare a comprehensive report.

Import all related literature into Rayyan.

Use filters to categorize articles by subject area and methodology.

Analyze the included studies, focusing on limitations and suggestions for future research.

Identify recurring themes or gaps mentioned in the discussion sections of the papers.

Synthesize findings into a report highlighting potential areas for further investigation.

Define the clinical question and search terms.

Import search results from relevant medical databases.

Use Rayyan's AI to identify and prioritize the most relevant studies.

Extract key findings and recommendations from the included studies.

Create a summary of evidence to support clinical practice guidelines.

Define keywords and research parameters for a relevant search.

Import data from academic search engines such as Google Scholar, JSTOR, and university databases.

Leverage Rayyan to eliminate duplicate entries and to identify research according to preset criteria.

Sort, categorize, and analyze the relevant academic literature.

Create a final report or presentation for academic use.