Speakers:
Dheepa Chari
Jennifer Ghith
Bob Schijvenaars
Kim Wager

Evaluating the scientific literature is a fundamental part of medical communications and publication planning. Insights generated from publications contribute to landscape analysis, gap analysis, systematic literature reviews, evaluating new studies, and maintaining awareness of scientific trends. Conventional literature searching has well-established challenges; in particular, the number of results from any given search string will include large numbers of irrelevant articles, which makes reviewing search results a time-consuming endeavour that only grows as the publication volume continues to increase. Tools leveraging artificial intelligence (AI) are helping to address this problem by providing alternative ways to evaluate the literature. By mapping core semantic concepts across multiple publications, scientifically meaningful connections between publications can be identified. This enables new approaches to identifying relevant publications, and allows connections to be made to wider content, such as clinical trials and research grants. The result is a picture of current science that is not only richer than can be obtained from conventional methods, but radically different in perspective. In this session, we will review current trends and future prospects for AI applications in gaining insights from the scholarly literature and look at practical applications relevant to publications and medical communications professionals.

Learning objectives:

• Understand what AI concepts are relevant for interrogating scientific literature
• Gain insights into how AI can be used to provide an alternative way of thinking about literature search
• Learn practical applications that can be incorporated into medical planning

Approved for ISMPP CMPP recertification credit