Could large language models and/or AI-based automation tools assist the screening process?

Could large language models and/or AI-based automation tools assist the screening process?

Dr. Siw Waffenschmidt, Head of the Information Management Department at the Institute for Quality and Efficiency in Health Care.

In this session, part of the Artificial Intelligence (AI) methods in evidence synthesis series, the presenter will give an overview on the background and existing literature on different Machine Learning (ML) approaches versus Large Language Models (LLM) approaches in screening. 

This session is aimed at anyone interested in screening studies.

Upcoming Learning Live events

12. März 2025
Opportunities and challenges for data extraction with a large language model
Prof. Gerald Gartlehner, Co-Director, Cochrane Austria & Co-Convenor, Cochrane Rapid Review Methods Group.

9. April 2025
(How well) can large language models and AI-based automation tools assist in Risk of Bias Assessment?
Dr. Angelika Eisele-Metzger, Cochrane Germany & Institute for Evidence in Medicine, Freiburg.

7. Mai 2025
How effectively do large language models and AI-based automation tools assist in writing and summarizing evidence syntheses?
Dr. Riaz Qureshi, Assistant Professor, Department of Ophthalmology, University of Colorado Anschutz Medical Campus.

3. Juni 2025
Recommendations and guidance on responsible AI in evidence synthesis
Ella Flemyng, Head of Editorial Policy and Research Integrity, Cochrane.
Dr. Anna Noel-Storr, Head of Evidence Pipeline and Data Curation, Cochrane.
Prof. James Thomas, Principle Investigator, Evidence Reviews Facility, Department of Health and Social Care, England.