It is increasingly expected that decisions about health care and research are made based on the best available evidence. Evidence synthesis is the cornerstone of evidence-based decision making. PICO Portal is an Artificial Intelligence (AI)-assisted platform designed to help meet the growing demand for evidence synthesis.

The highest level of evidence for unbiased evaluation of biomedical and other interventions is the Systematic Review (SR). SRs employ rigorous, structured, and transparent methods to identify, evaluate, and synthesize all studies that provide relevant evidence on a topic.

Conventional SRs are time-consuming and resource intensive, often requiring many months and at minimum tens of thousands of dollars. Further, they require highly qualified personnel with expertise in methods and context (e.g., clinical condition being studied) and quickly become out of date as new studies are constantly being published. SRs typically involve screening thousands of abstracts and potentially hundreds of full-text files, extracting and assessing risk of bias in hundreds of studies, all in duplicate, and managing this process can be challenging.

In this talk, Eitan Agai, the founder and lead-developer of PICO Portal, will cover the capabilities of PICO Portal and where machine learning, deep learning, and AI can help systematic reviewers now and in the future.