What’s here, what’s coming, and what unknown unknowns should we be thinking about?

Presented by the Behavioral Health Evidence Synthesis Training (BEST) Program

Join us for the inaugural BEST AI Symposium, a cutting-edge exploration of how artificial intelligence is transforming the landscape of systematic reviews. Designed for researchers, clinicians, and trainees engaged in evidence synthesis, this symposium spotlights the latest tools, challenges, and breakthroughs in applying AI to systematic reviews in general with an additional focus on behavioral health, neurotrauma, and nutrition.

Saturday, July 12
9-12 PST
Live Virtual Symposium & Discussion Panel with Q&A

Our expert panel includes:

Dr. Riaz Qureshi (University of Colorado Anschutz; Cochrane Adverse Events Methods Group; Senior Methodologist at PICO Portal) – Presentation: What AI tools are available for systematic reviews now and what is coming soon? 

Dr. Orion Kooistra (Postdoctoral Fellow in AI for Systematic Reviews, Oregon Health Science University) – Presentation: What is the quality of the available AI-based systematic review tools? Lessons learned from our living review. 

Dr. Ian Coulter (RAND Corporation; Past Director of the Evidence‑Based Practice Center for Complementary and Alternative Medicine) – Presentation: What can AI offer and what should we be worried about, my experience as a director of a systematic review center.

Daniel Yinanc (PredictNow.ai; Zillow; AI Senior Product Manager and Chief AI Scientific Officer) – Presentation: What are you not thinking about? The unknown unknowns with AI for Systematic Reviews and Evidence Synthesis 

Each expert will present a 20-minute talk on their topic with 10 minutes reserved for Q&A. The final hour will be reserved for a panel discussion. 

Supported by NIH Grant R25DK130848