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20242026
most citedTwo-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

22 citations · 43 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset

Sumon Kanti Dey, Jeanne M. Powell, Azra Ismail +2

Nonmedical opioid use is an urgent public health challenge, with far-reaching clinical and social consequences that are often underreported in traditional healthcare settings. Soci…

cs.AI2025★ 3 cited

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case

JaMor Hairston, Ritvik Ranjan, Sahithi Lakamana +4

Background Large language models (LLMs) face challenges in inductive thematic analysis, a task requiring deep interpretive and domain-specific expertise. We evaluated the feasibili…

cs.CL2025

Application of CARE-SD text classifier tools to assess distribution of stigmatizing and doubt-marking language features in EHR

Drew Walker, Jennifer Love, Swati Rajwal +4

Introduction: Electronic health records (EHR) are a critical medium through which patient stigmatization is perpetuated among healthcare teams. Methods: We identified linguistic fe…

cs.CL2025

Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods

Drew Walker, Swati Rajwal, Sudeshna Das +2

Social isolation and loneliness, which have been increasing in recent years strongly contribute toward suicide rates. Although social isolation and loneliness are not currently rec…

cs.CY2025★ 5 cited

Large Language Models in Healthcare

Mohammed Al-Garadi, Tushar Mungle, Abdulaziz Ahmed +3

Large language models (LLMs) hold promise for transforming healthcare, from streamlining administrative and clinical workflows to enriching patient engagement and advancing clinica…

cs.CL2025

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models

Yao Ge, Yuting Guo, Sudeshna Das +3

We present HILGEN, a Hierarchically-Informed Data Generation approach that combines domain knowledge from the Unified Medical Language System (UMLS) with synthetic data generated b…