6 citations · 13 across the 11 of their papers we have counts for
12 papers
Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Ambient AI Drafts and Clinician Finalized Notes
Yiliang Zhou, Yawen Guo, Sairam Sutari +9
Ambient artificial intelligence (AI) documentation tools are increasingly deployed to reduce clinician documentation burden, but their implications for biased language in clinical…
Examine Clinicians' Modification of Hedging Language in Ambient AI Documentation: A Comparative Study of AI Drafts and Final Notes
Yiliang Zhou, Yawen Guo, Di Hu +6
Ambient AI documentation systems generate clinical note drafts that clinicians frequently revise before signing off into electronic health records, yet how these edits alter hedgin…
Consumer-to-Clinical Language Shifts in Ambient AI Draft Notes and Clinician-Finalized Documentation: A Multi-level Analysis
Ha Na Cho, Yawen Guo, Sairam Sutari +5
Ambient AI generates draft clinical notes from patient-clinician conversations, often using lay or consumer-oriented phrasing to support patient understanding instead of standardiz…
What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling
Ha Na Cho, Seungmin Jeong, Yawen Guo +3
Objective: Predicting length of stay after elective spine surgery is essential for optimizing patient outcomes and hospital resource use. This systematic review synthesizes computa…
When AI Writes Back: Ethical Considerations by Physicians on AI-Drafted Patient Message Replies
Di Hu, Yawen Guo, Ha Na Cho +7
The increasing burden of responding to large volumes of patient messages has become a key factor contributing to physician burnout. Generative AI (GenAI) shows great promise to all…
Ambient Listening in Clinical Practice: Evaluating EPIC Signal Data Before and After Implementation and Its Impact on Physician Workload
Yawen Guo, Di Hu, Jiayuan Wang +4
The widespread adoption of EHRs following the HITECH Act has increased the clinician documentation burden, contributing to burnout. Emerging technologies, such as ambient listening…
Investigating the effects of housing instability on depression, anxiety, and mental health treatment in childhood and adolescence
Rachael Zehrung, Di Hu, Yawen Guo +2
Housing instability is a widespread phenomenon in the United States. In combination with other social determinants of health, housing instability affects children's overall health…
YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos
Yawen Guo, Xiao Liu, Anjana Susarla +1
Videos can be an effective way to deliver contextualized, just-in-time medical information for patient education. However, video analysis, from topic identification and retrieval t…
An Interactive Web Application for School-Based Physical Fitness Testing in California: Geospatial Analysis and Custom Mapping
Yawen Guo, Kaiyuan Hu, Di Hu +2
Physical activity is essential for children's healthy growth and development. In the US, most states, including California, adhere to physical education standards and have implemen…
Large Language Models for Disease Diagnosis: A Scoping Review
Shuang Zhou, Zidu Xu, Mian Zhang +14
Automatic disease diagnosis has become increasingly valuable in clinical practice. The advent of large language models (LLMs) has catalyzed a paradigm shift in artificial intellige…
YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos
Yawen Guo, Xiao Liu, Anjana Susarla +1
The COVID-19 pandemic has highlighted the dire necessity to improve public health literacy for societal resilience. YouTube, the largest video-sharing social media platform, provid…
Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets
Yawen Guo, Rachael Zehrung, Katie Genuario +4
Abortion is a controversial topic that has long been debated in the US. With the recent Supreme Court decision to overturn Roe v. Wade, access to safe and legal reproductive care i…