3 papers
cs.CL2026
Fine-Tune, Don't Prompt, Your Language Model to Identify Biased Language in Clinical Notes
Isotta Landi, Eugenia Alleva, Nicole Bussola +5
Clinical documentation can contain emotionally charged language with stigmatizing or privileging valences. We present a framework for detecting and classifying such language as sti…
cs.CV2025
Predict Patient Self-reported Race from Skin Histological Images
Shengjia Chen, Ruchika Verma, Kevin Clare +6
Artificial Intelligence (AI) has demonstrated success in computational pathology (CPath) for disease detection, biomarker classification, and prognosis prediction. However, its pot…
cs.CL2025
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes
Anna Shopova, Cristoph Lippert, Leslee J. Shaw +1
Menstrual health is a critical yet often overlooked aspect of women's healthcare. Despite its clinical relevance, detailed data on menstrual characteristics is rarely available in…