Systematic Review Screener-AI-driven screening assistant
Streamlining systematic reviews with AI
Is this abstract relevant to my review given the inclusion criteria [list criteria]?
Identify which criteria might be difficult to assess at the title/abstract screening stage, given this list of inclusion criteria.
Organize my exclusion reasons by determining which reasons can be quickly identified and should be given top priority in the [given list]”
Analyze these excluded abstracts and identify common reasons for their exclusion as per my inclusion criteria.
Summarize the key points of this abstract according to my inclusion criteria [list criteria]
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Overview of Systematic Review Screener
Systematic Review Screener is designed to assist in the evaluation of research papers and studies for inclusion in systematic reviews. This specialized tool is crafted to streamline the screening process by meticulously assessing research relevance based on predefined inclusion and exclusion criteria. Through an expert understanding of research methodologies and study designs, it aids in organizing criteria hierarchically for efficient screening, evaluates each paper or abstract with justifications for decisions, and identifies patterns in excluded studies to refine screening criteria. Examples of its application include flagging studies for further consideration that may not clearly meet the title/abstract screening criteria but warrant full-text review, and providing detailed justifications for inclusion or exclusion, thus ensuring a comprehensive and systematic approach to literature review. Powered by ChatGPT-4o。
Core Functions and Applications
Hierarchical Criteria Organization
ExamplePlacing straightforward criteria such as language and publication year before more complex ones like study population characteristics.
ScenarioIn a review focusing on interventions to improve patient outcomes in rural settings, the screener first filters out studies based on language and date, then assesses the relevance of the study's location and population.
Relevance Evaluation and Justification
ExampleCategorizing studies as Include, Exclude, or Maybe, with direct quotes from the paper for verification.
ScenarioWhen screening studies on diabetes management, the screener excludes a study for focusing on type 1 diabetes when the review criteria specify type 2, providing quotes from the study that clarify the focus.
Criteria Refinement and Pattern Recognition
ExampleAdjusting criteria based on observed trends in excluded studies to align better with the review's objectives.
ScenarioNoticing a trend of excluding studies due to a lack of outcome specificity, the screener suggests refining the inclusion criteria to specify the types of outcomes of interest more clearly.
Target User Groups
Research Academics
Academics conducting systematic reviews for their research projects can utilize the screener to efficiently sift through vast amounts of literature, ensuring they include only the most relevant studies in their review.
Healthcare Policy Analysts
Policy analysts looking to base healthcare policies on evidence can use the screener to identify relevant research efficiently, ensuring their recommendations are backed by the most up-to-date and comprehensive data available.
How to Use Systematic Review Screener
1
Start by visiting a platform offering a no-cost trial, accessible without registration or a premium subscription.
2
Input your review's inclusion and exclusion criteria directly into the screener tool to customize your search.
3
Upload or paste the list of titles and abstracts you wish to screen for your systematic review.
4
Review the automated categorization (Include, Exclude, Maybe) provided by the tool, using the justification for each decision.
5
Use the feedback feature to refine and improve the accuracy of the screening process for future searches.
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Detailed Q&A on Systematic Review Screener
What makes Systematic Review Screener unique?
Systematic Review Screener stands out due to its AI-driven capability to interpret and apply complex inclusion and exclusion criteria, providing justified categorizations for each screened article.
Can Systematic Review Screener handle documents in languages other than English?
While primarily optimized for English, the screener can process documents in other languages with varying degrees of accuracy, depending on the language's compatibility with the AI's training data.
How does the screener deal with ambiguous cases?
Ambiguous cases are marked as 'Maybe' with a detailed justification, allowing users to make informed decisions during full-text screening.
Is it possible to customize the inclusion and exclusion criteria?
Yes, users can fully customize the criteria according to their specific research needs, ensuring the screening process is tailored to their review's objectives.
How does Systematic Review Screener improve over time?
The screener learns from user feedback and reconciliations, refining its understanding and application of screening criteria for increasingly accurate results.