1 citations · 3 across the 5 of their papers we have counts for
5 papers
Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters
Feng Chen, Manas Bedmutha, Janice Sabin +3
Depression is underdiagnosed in primary care, yet timely identification remains critical. Recorded clinical encounters, increasingly common with digital scribing technologies, pres…
SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation
Manas Satish Bedmutha, Feng Chen, Andrea Hartzler +2
Effective patient-provider communication is difficult to assess at scale. We examine whether large language models (LLMs) can track 20 social behaviors from clinical transcripts wi…
Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
Feng Chen, Dror Ben-Zeev, Gillian Sparks +2
Post-Traumatic Stress Disorder (PTSD) remains underdiagnosed in clinical settings, presenting opportunities for automated detection to identify patients. This study evaluates natur…
Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations
Feng Chen, Manas Satish Bedmutha, Ray-Yuan Chung +6
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising awareness is key to reducing such bias, but its manifestations in the social dynamics…
Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts
Xiruo Ding, Zhecheng Sheng, Brian Hur +3
Foundation models are a current focus of attention in both industry and academia. While they have shown their capabilities in a variety of tasks, in-depth research is required to d…