Nested Knowledge offers a variety of AI-enhanced tools that make the systematic review process smoother and easier for users. Listed in order of when you would use each tool in the review process, here are our four key AI features:
At Nested Knowledge, we are committed to transparency and rigorous evaluation of our AI-powered evidence synthesis tools. This page compiles internal and external validation studies across the core stages of the review workflow: Search, Screening, Data Extraction, Critical Appraisal, and Reporting. These studies demonstrate the reliability, accuracy, and real-world performance of the AI tools embedded...
Nested Knowledge employs a number of AI tools at each stage of the review workflow. Here we provide links to guidance on how to use each tool in addition to tips and tricks on best practices and how to get the most out of each tool. Many of the below tools require input of prompts....
Rules of thumb: 4. All prompt-based questions can be run with or without associated annotations, meaning the LLM response will highlight a direct excerpt from the text to inform its response. Selecting to run the LLM without requiring annotations will provide a more generative response, which in some cases, may be more accurate. Criteria-based Screening...
