How to Use an AI Literature Review Tool to Search and Compare Papers
Quick answer
Use SciSpace Literature Review to turn a focused question into a reviewable paper comparison, not to replace screening judgment. Search with explicit concepts and filters, inspect relevance, define custom comparison fields, compare methods and findings consistently, save the useful sources, and verify extracted evidence before using it in a review or decision.
About this video
This tutorial demonstrates using the SciSpace literature review tool to perform recursive searches and generate sectionwise summaries of research papers [L5]. Viewers learn to filter results by journal, citation count, and keyword, customize data tables with up to 50 fields, and save insights directly to their library to streamline synthesis [L5].
The SciSpace Literature Review tool helps turn a research query into a comparable evidence set. In this quick tutorial, you learn how to search, narrow the results, inspect paper relevance, add analysis columns, and export a table for deeper review.
What this tutorial covers
- Search by a natural-language question or focused topic.
- Use filters and relevance signals to reduce noise.
- Compare papers across standard or custom evidence columns.
- Save, refine, and export the studies that matter.
Key concepts explained
- Discovery versus inclusion
- A search result is a candidate, not automatically part of the final review.
- Comparable fields
- Consistent columns reveal patterns and missing information.
- Iterative search
- Revise terms and filters after inspecting the first result set.
How to try it in SciSpace
- 1
Enter a focused research question.
Enter a focused question with the population or context, main concepts, date range, and evidence type. A narrow question produces a paper set that can be screened and compared meaningfully.
- 2
Apply year, publication, topic, or other relevant filters.
Apply filters deliberately and save the query, date, source, and result count. Inspect the first results to identify missing synonyms, irrelevant meanings, or publication-type gaps.
- 3
Review titles and abstracts, then add custom columns for the variables you need.
Define custom comparison columns and pilot them on a small set. Use fields such as design, sample, exposure or intervention, outcome, finding, limitation, and evidence passage.
- 4
Save relevant papers and export the comparison table for verification or synthesis.
Save the relevant papers and export the comparison table with the search record. Verify pivotal fields against the original papers before using the table for synthesis or writing.
Worked example
A cardiology researcher examines whether remote patient monitoring reduces readmissions after heart-failure discharge. In SciSpace Literature Review, they search recent RCTs and cohort studies, filter by adult populations, and add comparison columns for monitoring modality, follow-up, readmission definition, effect estimate, and implementation context. The matrix reveals that studies use different time windows and outcome definitions. Rather than averaging unlike results, the researcher groups the evidence by design and definition and opens the most influential papers for source-level verification.
Practice prompt
Find studies on [topic] and compare them by design, population, sample, measures, main finding, limitation, and relevance to [question].
Key takeaway
Use the tool to build a structured starting set, then verify and synthesize the strongest studies.
Frequently asked questions
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