In the 5th webinar in the series Artificial Intelligence (AI) methods in evidence synthesis series, Dr. Riaz Qureshi, Assistant Professor in the Department of Ophthalmology at University of Colorado Anschutz Medical Campus will give an overview of different ways that large language models can be used to help write systematic review protocols and manuscripts.
The session is aimed at anyone who is interested in conducting systematic reviews.
Register for this webinar here
This 4th webinar in the series Artificial Intelligence (AI) methods in evidence synthesis will give insight into how AI can support the process of assessing the risk of bias of studies included in systematic reviews.
Presented by Dr. Angelika Eisele-Metzger, a researcher at the Institute for Evidence in Medicine and Cochrane Germany, this session is aimed at people who have experience in systematic review production, but is also open to anyone with a general interest in the topic.
Register here for this webinar.
Prof. Gerard Gartlehner, Co-Director, Cochrane Austria & Co-Convenor, Cochrane Rapid Review Methods Group presents the 3rd session in the Artificial Intelligence (AI) methods in evidence synthesis series. This session will look at the current research landscape concerning data extraction using Large Language Models (LLM). The session will also cover current methodological issues in assessing LLMs for tasks involving data extraction.
This session is aimed at anyone conducting evidence synthesis.
Register for this event here
In the second session of the series Artificial Intelligence (AI) methods in evidence synthesis Dr. Siw Waffenschmidt will discuss the background and literature on different Machine Learning (ML) approaches versus Large Language Model (LLM) approaches in screening.
This webinar is aimed at anyone interested in screening studies.
Register here for this event.
Cochrane Learning Live presents a series of webinars dedicated to the topic of Artificial Intelligence (AI) methods in evidence synthesis.
This series will explore the role of AI in evidence synthesis and how it can complement traditional methods. It will also provide a platform for experts to discuss the opportunities, challenges and risks involved.
This series targets those with foundational knowledge of systematic reviews who want to stay updated on AI developments in evidence synthesis.
Presented by Dr. Maria-Inti Metzendorf & Irma Klerings the first webinar topic will discuss: (How) can AI-based automation tools assist with systematic searching?
Register here for the event
