(How well) can large language models and AI-based automation tools assist in Risk of Bias Assessment?
- https://www.ebm-netzwerk.de/de/veranstaltungen/termine/cochrane-webinar-4-risk_of_bias
- (How well) can large language models and AI-based automation tools assist in Risk of Bias Assessment?
- 2025-04-09T00:00:00+02:00
- 2025-04-09T23:59:59+02:00
- Webinar 4 of the Cochrane Learning Live webinar series "Artificial Intelligence (AI) methods in evidence synthesis"
- Wann 09.04.2025 (Europe/Berlin / UTC200)
- Wo Online-Webinar
- Web Externe Webseite besuchen
-
Termin zum Kalender hinzufügen
iCal
Assessing the risk of bias of studies included in a systematic review is time and resource consuming. Thus far, there are a number of approaches to support this process using AI.
In this webinar, part of the Artificial Intelligence (AI) methods in evidence synthesis series, the presenter will provide insight into current activities in this area.
The session is primarily aimed at people who have experience in systematic review production, but is also open to anyone with a general interest in the topic.
Presenter:
Dr. Angelika Eisele-Metzger is a researcher at the Institute for Evidence in Medicine and Cochrane Germany in Freiburg with expertise in systematic review production as well as methodological research. Her current work focuses on the use of AI and large language models to support systematic reviews.
Upcoming Learning Live events
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.