LDI Senior Fellows Neil Sehgal, Anish Agarwal, Raina Merchant, MD MSHP FAHA, Sharath Chandra Guntuku, and colleagues analyzed Yelp reviews of health care facilities to assess how patient sentiment toward changed before and after COVID-19.

🚨 New CHI'25 EA paper! 🚨 How can we design culturally sensitive mental health chatbots for Indian adolescents? 🇮🇳📱 Our mixed-methods study reveals key design insights—from stigma to personalization. Read it here: arxiv.org/abs/2503.08562 #CHI2025 #HCI #MentalHealth #AIforGood

Excited for #CHI2025 🌸(my first!) & looking forward to connecting with folks building culturally sensitive, scalable, policy-focused AI for Health. Neil Sehgal & Hita K present our ongoing work on designing AI for adolescent mental health in India: dl.acm.org/doi/10.1145/37…

#NAACL2025 How to compare cultural differences with social media data in scale? Our work uses lexica to annotate X 🇺🇸 & Weibo 🇨🇳 posts with valence (😄☹️) & arousal (🔥❄️) scores, revealing cross-cultural differences in emotional expression. aclanthology.org/2025.findings-…

An analysis of online reviews of U.S. health care facilities found that negative ratings often focused on communication and administrative issues, while positive ratings emphasized supportive staff. ja.ma/4fr1y1l

Tracking online review language in real time could help health systems identify access barriers & improve patient care ft. Lauren Southwick (Penn Med Transformation & Innovation), Raina Merchant, MD MSHP FAHA, Anish Agarwal (Penn EM Residency), Neil Sehgal & Sharath Chandra Guntuku (Penn Computer and Information Science) Penn LDI jamanetwork.com/journals/jaman…