PURPOSE: This workshop will present examples of how AI can be applied to automate the creation of components of HTA submissions and how these technologies are perceived from an HTA perspective. By bringing together discussion leaders from AI, HTA creation, and HTA evaluation, this workshop aims to give a well-rounded perspective on the topic. 

DESCRIPTION: With a proliferation in artificial intelligence approaches, AI techniques are being applied to the preparation of evidence for inclusion in HTA submissions. Matthew Michelson will first share from a technical perspective how AI can be applied to screen and extract data within literature reviews, and how this process has recently evolved. Stephanie Manson will share how this AI approach has been used in practice to conduct systematic and targeted literature reviews and how this can support HTA submissions. Meg Gibbs will then discuss how AI is being used to digest detailed global value dossiers, clinical study reports, modelling reports and supplemental evidence in order to autocreate tailored summaries suitable for HTA submissions. Finally, Páll Jónsson will share the NICE perspective on how to ensure quality and appropriate application with these technologies. Each presenter will incorporate two-way audience dialogue into their perspective through polls about perceptions and barriers towards the adoption of AI in HTA submissions.