Revolutionizing Systematic Reviews: Harnessing the Power of AI

May 20, 2024

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Title: Revolutionizing Systematic Reviews: Harnessing the Power of AI

Monday, May 20, 2024
10:00AM EDT | 2:00PM UTC | 4:00PM CEST

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The landscape of systematic reviews is undergoing profound transformation with the integration of Artificial Intelligence (AI). By automating tasks like literature screening and aiding in data extraction, AI not only speeds up the review process but also enhances the reliability and comprehensiveness of the evidence synthesis. As we explore this innovative frontier, the seamless integration of AI into systematic reviews reshapes standard practices and opens up new avenues for researchers, creating a more robust and informed knowledge base.

This webinar will provide a comprehensive overview of the current landscape of AI adoption in systematic reviews and showcase several state-of-the-art platforms revolutionizing the systematic review process.

Professor James Thomas will discuss the use and potential of AI in systematic reviews, including its limitations and barriers to adoption. He will also consider the issue of trust and evaluation in new tools, and the importance of high-quality evaluations being essential for the field to benefit from the efficiencies now possible. Furthermore, Mr. Piet Hanegraaf will demonstrate the integration of automated search and GPT into a web application designed for living systematic reviews, showcasing how it amplifies efficiency and accuracy in literature searches and data extractions. Mr. Artur Nowak will present on how AI can expedite the process of systematic reviews across all stages, with a focus on how to speed up the data extraction process from text, tables, and plots. 

Learning Objectives

  • In-depth Analysis: Gain a profound understanding of the current state of AI adoption in systematic reviews. 
  • Platform Exploration: Delve into live demonstrations of several pioneering AI-driven platforms, meticulously designed to optimize and expedite systematic review processes. 
  • Operational Insight: Acquire practical insights into the applications of AI, understanding how these platforms enhance efficiency, accuracy, and overall effectiveness in systematic reviews. Engagement and Inquiry: Participate in interactive Q&A sessions to directly engage with the expert speaker, seeking clarification and expanding on the nuances of AI's role in systematic reviews. 


Hao Pham, MSc, Co-Chair ISPOR Student Network Education Committee and PhD Candidate in Health Economics, University Medical Center Groningen, Groningen, Netherlands


James Thomas, PhD, Professor of Social Research and Policy IOE - Social Research Institute, University College London, London, England, UK

Piet Hanegraaf, Founder and CEO, Pitts, Zeist, Netherlands

Artur Nowak, MSc, Co-Founder and Chief Technology Officer, Evidence Prime, Hamilton, ON, Canada

Please note:
 On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar.

Reservations are on a first-come, first-served basis.

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