2.7k citations · 2.7k across the 14 of their papers we have counts for
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Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding
Shenghuan Sun, Alexander Schubert, Gregory M. Goldgof +4
Vision-Language Models (VLM) can support clinicians by analyzing medical images and engaging in natural language interactions to assist in diagnostic and treatment tasks. However,…
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…
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies
Yu-Ning Huang, Michael I. Love, Cynthia Flaire Ronkowski +13
Metadata, often termed "data about data," is crucial for organizing, understanding, and managing vast omics datasets. It aids in efficient data discovery, integration, and interpre…