Screening

Smart Config: Screening

Last Updated: May 29, 2026

Smart Config is an AI tool on the Configure Screening page that generates a complete set of Abstract and Full Text screening criteria from your research question. It removes the need to draft Yes/No criteria from scratch and is especially valuable for rapid reviews, where time spent on protocol setup directly impacts overall turnaround. Criteria...

Screening: Overview

Last Updated: July 15, 2026

In Screening, you select which studies to include in your nest and which should be excluded (with reasons).

Configuring Screening

Last Updated: June 4, 2026

The first step in the Screening process is configuring the Exclusion reasons. The steps for adding and editing exclusion reasons will be covered here.

Criteria-Based Screening

Last Updated: July 16, 2026

Criteria-Based Screening (CBS) offers an alternative, comprehensive screening workflow in Nested Knowledge that structures your screening process around question-based form instead of a list of exclusion reasons. By creating simple Yes/No questions, it allows reviewers or an AI to answer these questions in the screening process before finalizing a screening decision to encourage a more...

Smart Screener

Last Updated: July 17, 2026

Smart Screener brings AI extraction into Criteria-Based Screening: Note: Smart Screener works independently to our inclusion probabilities in our screening model. Smart Screener is based on the answers to your criteria/questions, and the screening model is trained on your applied screening decisions. Steps for Using Smart Screener Generate Smart Screener On the Configure Screening page,...

Screen Records

Last Updated: December 9, 2025

Now that the Exclusions Reasons have been configured, you can proceed with screening underlying studies to identify those that should be Advanced and/or Included for your nest, or Excluded (for one of your configured Exclusion Reasons). Note: If you are using Two-Pass Screening or Dual Screening, this process will differ slightly from the Standard workflow outlined...

Robot Screener

Last Updated: January 6, 2026

The Screening Model uses AI to learn from screening decisions within a specific nest, generating inclusion probabilities based on configuration. You may use the screening model in two ways: Both methods require the model to be trained but the first only displays probabilities, allowing you to order studies in the screening queue by likelihood of inclusion or bulk...

Bulk Import Full Texts

Last Updated: July 1, 2026

As you finish up the Title/Abstract Screening stage, you may wish to upload pdfs in bulk to prepare for the Full Text Screening stage. This can be done for both open source publications, proprietary full text pdfs and ClinicalTrials.gov reports. To do this, navigate to the Full Text Import menu tab. Full texts added here...

Import Existing Screening Decisions

Last Updated: September 26, 2024

You may have a legacy or existing project you wish to upload and continue in Nested Knowledge. To do this, first ensure you have imported your records via a Literature Search. The next step is to upload screening decisions, which will be matched to these records (and will only do so if they already exist...

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