3 citations · 5 across the 4 of their papers we have counts for
4 papers
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study
Niklas Mannhardt, Elizabeth Bondi-Kelly, Barbara Lam +10
Large language models (LLMs) have immense potential to make information more accessible, particularly in medicine, where complex medical jargon can hinder patient comprehension of…
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
Benjamin Yan, Ruochen Liu, David E. Kuo +8
Automatically generated reports from medical images promise to improve the workflow of radiologists. Existing methods consider an image-to-report modeling task by directly generati…
Video Pretraining Advances 3D Deep Learning on Chest CT Tasks
Alexander Ke, Shih-Cheng Huang, Chloe P O'Connell +3
Pretraining on large natural image classification datasets such as ImageNet has aided model development on data-scarce 2D medical tasks. 3D medical tasks often have much less data…
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
Monica Agrawal, Chloe O'Connell, Yasmin Fatemi +2
Clinical studies often require understanding elements of a patient's narrative that exist only in free text clinical notes. To transform notes into structured data for downstream u…