LaserAI
Description
To reduce screening time and improve accuracy in all phases of systematic reviews by automating title and abstract screening, PDF retrieval, full-text review, and data extraction.
Detailed example
The AI system outputs include prioritized lists of potentially relevant articles for screening, retrieved PDFs from PubMed, and suggested data for extraction from PDFs.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
The AI is expected to streamline systematic review processes, reduce manual effort, and improve accuracy in identifying and extracting relevant data. The synthesized and graded data will inform the development of evidence-based infection prevention and control recommendations for healthcare settings.
Controls / human review
ATO: No; PIA: Not published
Data needed
None: Any data used to train the AI is publicly available, peer-reviewed data.