2026-06-05 –, Room #2 Language: English
Background: GenAI-assisted search strategies are gaining momentum. Loon Lens is a Canadian initiative and the first-ever scientifically validated agentic AI platform for systematic literature reviews. Loon Lens supports key steps in evidence synthesis, including developing eligibility criteria, building search strategies, running literature searches within OpenAlex, and conducting title, abstract, and full-text screening, as well as data extraction. It is HTA-compliant, citable, and demonstrates high performance.
Methods: We tested Loon Lens as an independent comparator to generate multiple literature search strategies based on predefined inclusion criteria, and we compared its performance with that of an experienced information specialist and researcher. With humans kept in the loop, agentic AI is not intended to replace human expertise but has been shown to enhance efficiency in literature searching.
Results and discussion: We will share our experience using Loon Lens to refine literature search strategies and reduce human time investment in the systematic review process. We will also discuss the strengths and limitations of AI tools in literature searching. As a research assistant and valuable collaborator, Loon Lens—when used alongside librarians—has the potential to substantially strengthen the quality, consistency, and timeliness of future systematic review workflows.
Yuhong Yuan, PhD, is a former gastroenterologist, former Cochrane information specialist, and former Cochrane managing editor. Dr. Yuan is currently an adjunct professor at Western University, a part-time assistant professor at McMaster University, and a senior research associate at London Health Sciences Centre. She has been involved in numerous research projects and has contributed extensively to clinical guideline development as a health research methodologist and guideline methodologist. Dr. Yuan has co-authored over 280 peer-reviewed medical publications and more than 190 conference proceedings, with an h-index of 74 on Google Scholar.
Ghayath Janoudi: MBBS, MSC, PHD (AI EPI) Dr. Ghayath Janoudi, MBBS, MSc, PhD (AI Epidemiology) is the CEO of Loon and a global speaker and expert in AI for clinical research. He spent over 15 years in leadership and executive roles at Canada's Drug Agency and various clinical research organizations where he worked in Health Technology Assessment (HTA) and Health Economics & Outcomes Research (HEOR). Dr. Janoudi has pioneered Cognitive Ensemble AI Systems and authored numerous publications, including using AI in clinical discovery, outlier analysis, drug therapy assessment, and outcomes-based healthcare. His extensive work in the field has brought him recognition as Canada Emerging Healthcare Leader in 2024.