LASER AI ‘Ready to use’ test projects


Before you begin your adventure with Laser AI, we suggest you to start with two test projects we've prepared for you.  First include all three stages of systematic review, while second focus solely on the data extraction stage.

   

We prepared guidelines with tasks to help you navigate these test projects. 



Note: you can start from any SR stage.  If you can’t see your test project, please check that “All projects” is selected in the My projects list panel.  



Full list of available test project is provided in the Table below: 



Project name

Details

SR stage

How to use test project

Explore Laser AI functionalities 

This three-stage project is dedicated to initial testing of Laser AI. Specifically, the project focuses on the impact of Omega-3, Omega-6, and total dietary polyunsaturated fat on cancer incidence.


Please use it to learn how to:

  1. Conduct tiab, FT screening,  

  2. Conduct Data extraction,

  3. Conduct QA, 

  4. Distribute tasks for reviewers., 

  5. Solve conflicts, 

  6. Manage references and PDFs, 

  7. Explore outputs: extraction summary, PRISMA, 



Tiab screening

Full text screening

Data extraction


Click here to open guideline for this project 


Explore AI models in data extraction

Data extraction is not designed for any specific interventions. Studies were selected in a way to be representative in terms of interventions and study designs.

This project is dedicated to explore the potential of AI models, it’s not topic specific. 


Please use it to learn how to:

  1. Extract data into three subfields and extract  data using the highlighting mechanism

  2. Extract data in vocabulary fields

  3. Use AI-supported extraction of fields from text

  4. Extract within subsections

  5. Use AI-supported extraction from tables

  6. Validate extracted data using Quality assurance stage (optional)


Data extraction


Click here to open guideline for this project





RELATED ARTICLES


  1. Title and abstract screening - introduction 
  2. Full-text screening - introduction 
  3. Data extraction - introduction  
  4. Team management at Project level



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