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Webinar Description: As the newest disruptor, AI has everyone considering its place in our daily work. For those conducting evidence syntheses, such as systematic reviews, there are numerous tasks which AI has the potential to automate or at least enhance. This webinar will provide practical guidance and discussion of the promise and challenges in using AI while conducting reviews.
Speaker Bio: Margaret Foster, MS, MPH, is the Evidence Synthesis and Scholarly Communication Librarian and the Head of the Center for Systematic Reviews and Research Syntheses at the Medical Sciences Library, Texas A&M University. She is the co-author of the first book written on systematic reviews for librarians- Assembling the Pieces of a Systematic Review: A Guide for Librarians (2017) and recently Piecing Together Systematic Reviews and Other Evidence Syntheses (2022). She received the Presidential Impact Award from Texas A&M University in 2018 and the Lucretia W. McClure Excellence in Education Award in 2024 from the Medical Library Association.
This class is for educational and informational purposes in alignment with NNLM goals and does not offer medical advice. This presentation addresses the NNLM mission of “providing health professionals with equal access to biomedical information and improving the public's access to information" by exploring how AI can support evidence syntheses, such as systematic reviews.
By registering for this class, you are agreeing to the NNLM Code of Conduct.
- Understand the fundamental principles and applications of AI in systematic review searching.
- Learn how to integrate AI tools into existing research workflows.
- Identify and address potential challenges and ethical considerations related to the use of AI in systematic review methods.