62 citations · 71 across the 6 of their papers we have counts for
6 papers
The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)
Brenda Y. Miao, Irene Y. Chen, Christopher YK Williams +15
Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language an…
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models
Brenda Y. Miao, Christopher YK Williams, Ebenezer Chinedu-Eneh +4
Prescription contraceptives play a critical role in supporting women's reproductive health. With nearly 50 million women in the United States using contraceptives, understanding th…
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
Madhumita Sushil, Travis Zack, Divneet Mandair +5
Although supervised machine learning is popular for information extraction from clinical notes, creating large annotated datasets requires extensive domain expertise and is time-co…
CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference
Madhumita Sushil, Vanessa E. Kennedy, Divneet Mandair +3
Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented in c…
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes
Shenghuan Sun, Travis Zack, Christopher Y. K. Williams +2
We aimed to investigate the impact of social circumstances on cancer therapy selection using natural language processing to derive insights from social worker documentation. We dev…
Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors
Shenghuan Sun, Travis Zack, Madhumita Sushil +1
Most research studying social determinants of health (SDoH) has focused on physician notes or structured elements of the electronic medical record (EMR). We hypothesize that clinic…