EasySLR utilises advanced artificial intelligence to streamline and enhance the article screening process. Within the platform, two key AI features play pivotal roles: the AI Assistant and the AI Reviewer. While both are designed to enhance efficiency, they serve different functions and purposes.
Here’s a detailed comparison to illustrate how each AI component contributes to the review process:
Aspect | AI Assistant | AI Reviewer |
Purpose and Function | Optimises the article screening workflow by offering suggestions and rationales. | Complements human reviewers with an additional layer of assessment, focusing on thorough evaluation and quality control. |
Features and Workflow | Automation of Screening Tasks: Provides suggestions during Title-Abstract and Full Text during screening by applying predefined criteria such as PICOS & hierarchy. Enhanced Efficiency: Prioritizes potential inclusions and offers AI-driven suggestions to reduce manual effort and highlight relevant articles. | Dual Review Process: Conducts independent evaluations alongside human reviewers during Title-Abstract and Full Text screening using the predefined criteria such as PICOS & hierarchy. Quality Control: Acts as a quality control measure, enhancing reliability of review findings. |
Setup and Configuration | Configure in the “AI-Copilot'' section under “Settings.” Enable AI Notes and Suggestions. | Enable AI as a Reviewer in the “AI Copilot” section. If it's an SLR AI suggestions and notes will be disabled to avoid bias. |
Benefits | Time Savings: Reduces time needed for preliminary reviews. Streamlined Workflow: Organises articles so that potential inclusions are prioritised and listed first, enabling focus on detailed analysis. | Enhanced Accuracy: Combines AI’s systematic evaluation with human insights for a robust review process. Bias Mitigation: Ensures independent evaluations, reducing bias. |
Summary
AI Assistant: Concentrates on optimising and automating the initial screening process, enhancing efficiency and saving time by identifying relevant articles and highlighting key insights. It helps manage workflows effectively and offers updates according to the latest settings.
AI Reviewer: Improves the review process by integrating a system that combines the efficiency of AI with human expertise. This approach ensures a thorough evaluation, maintains quality control, and provides unbiased assessments, making it a crucial tool for in-depth literature reviews.
Note: While AI features can assist and speed up the review process, users should be aware that large language models (LLMs) may produce incomplete or incorrect results. Clear and well-defined protocols are essential for reliable AI support. All AI outputs should be carefully reviewed, and the final judgment and decision-making responsibility always rests with human reviewers.