Two funded projects are the lab's current focus: evaluating whether conversational AI can give trustworthy guidance on depression treatment, and studying how patients describe chronic pain in their own words. Earlier and ongoing work appears on the Publications page.
With Dr. Farrokh Alemi, we are evaluating conversational AI for depression management: exploring how large language models can improve antidepressant recommendations and patient outcomes. The project develops patient simulations and risk-assessment methods to test whether conversational agents give trustworthy guidance on antidepressant selection. Details on the PCORI website and in the George Mason announcement.
The lab is part of a George Mason research team studying chronic knee pain, using motivational interviewing and information extraction to capture patients' lived experiences with chronic pain in their own words. Our work develops annotation methods and extraction models for these interview transcripts. Details in the George Mason announcement.
Lybarger