AI Smart Tags automatically classify articles using AI-generated labels based on key study characteristics, including:
Population
Intervention
Outcome
Country
Study Design
Evidence Level
These structured tags allow you to quickly filter, analyse, and visualise patterns across your project — without manual tagging.
Enabling AI Smart Tags
Before using Smart Tag filters and visualisation, ensure the feature is enabled.
How to Enable AI Smart Tags
Go to Project Settings
Navigate to AI Copilot
Enable Show AI Smart Tags
Toggle on: “Show AI smart tags when available while reviewing articles”
Once enabled, Smart Tags will appear during article review and across filtering and visualisation sections.
Smart Tags Filters
Smart Tag filters allow you to refine your article list using AI-generated classifications. This helps you quickly identify specific subsets of studies for prioritisation and analysis.
Where to Find Smart Tag Filters
Navigate to:
Project Articles → Filters Section
Available Smart Tag filters include:
Population (AI)
Intervention (AI)
Outcome (AI)
Country (AI)
Study Design (AI)
Evidence Level (AI)
How to Use Smart Tag Filters
Open Project Articles.
Select a Smart Tag filter (e.g., Population (AI)).
Choose one or more values (e.g., Adults, Non-small-cell lung cancer).
Apply the filter to refine your article list.
You can combine multiple Smart Tag filters (e.g., Intervention + Outcome + Evidence Level) for precise targeting.
Best Practices for Smart Tag Filtering
Combine multiple AI filters for focused analysis.
Use Evidence Level (AI) to prioritise higher-quality studies.
Pair Smart Tags with manual filters (Stage, Reviewer, Excluded) for refined screening.
Always review filtered articles before making final decisions.
Smart Tags Visualisation
The Smart Tags Visualisation feature enables interactive exploration of relationships between AI-generated tags through charts and cross-tabulations.
It helps identify:
Where to Access Visualisation. Navigate to>Visualization
How to Create a Smart Tags Visualisation
Step 1: Select Dimensions
Choose:
X-Axis (Columns) – e.g., Intervention
Y-Axis (Rows) – e.g., Outcome
Group By (Optional) – e.g., Population
Step 2: Apply Filters (Optional)
Refine your dataset using filters such as:
Stage
Population (AI)
Intervention (AI)
Outcome (AI)
Country (AI)
Study Design (AI)
Evidence Level (AI)
Step 3: Explore the Output
Visualisation formats include:
Click on any cell to:
Example Use Cases
Identify which interventions most frequently report specific outcomes
Compare outcome distribution across populations
Assess evidence level trends across interventions
Detect under-researched areas
Prepare structured evidence maps
Benefits of Smart Tags & Visualisation
Faster evidence mapping
AI-powered structured categorisation
Reduced manual tagging effort
Interactive exploration of study relationships
Improved reporting and insight generation
Stronger strategic decision-making
Important Note on AI Usage
AI Smart Tags are generated using large language models (LLMs). While they significantly improve efficiency, they may occasionally produce incomplete or incorrect classifications.
Users should:
Review AI-generated tags before relying on them
Validate classifications against study content
Ensure final inclusion/exclusion and synthesis decisions are made by human reviewers
Troubleshooting
Smart Tags Not Visible?