How effectively do large language models and AI-based automation tools assist in writing and summarizing evidence syntheses?


In this webinar, part of the Artificial Intelligence (AI) methods in evidence synthesis series, the presenter gave an overview of different ways that large language models can be used to help write systematic review protocols and manuscripts.

The session was aimed at anyone who is interested in conducting systematic reviews. It was delivered in May 2025 and below you will find the videos from the webinar, together with the accompanying slides to download [PDF].

Part 1: Presentation
Part 2: Questions and answers


Presenter Bio

Dr. Riaz Qureshi is an Assistant Professor in the Department of Ophthalmology at University of Colorado Anschutz Medical Campus. In 2021, he completed his PhD in Epidemiology at Johns Hopkins Bloomberg School of Public Health. Riaz's research focuses on evidence synthesis and clinical trials methods and meta-research in general. He is particularly interested in the methods used to investigate harms of interventions at different levels of evidence: from adverse events collected and reported in clinical trials to the synthesis of harms in systematic reviews.


Part 1: Presentation


Part 2: Questions and answers


Additional materials

Download the slides from the webinar [PDF]