Leveraging artificial intelligence to enhance systematic reviews in health research: advanced tools and challenges
Lixia Ge, Rupesh Agrawal, Maxwell Singer, Palvannan Kannapiran, Joseph Antonio De Castro Molina, Kiok Liang Teow, Chun Wei Yap, John Abisheganaden
Abstract
Artificial Intelligence (AI) is transforming systematic reviews (SRs) in health research by automating processes such as study screening, data extraction, and quality assessment. This perspective highlights recent advancements in AI tools that enhance efficiency and accuracy in SRs. It discusses the benefits, challenges, and future directions of AI integration, emphasising the need for human oversight to ensure the reliability of AI outputs in evidence synthesis and decision-making in healthcare.
Topics & Concepts
MedicineSystematic reviewData scienceEngineering ethicsMEDLINEManagement scienceEngineeringComputer scienceEconomicsPolitical scienceLawArtificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviewsRadiomics and Machine Learning in Medical Imaging