3 papers
cs.CL2025
Patient-Centered Summarization Framework for AI Clinical Summarization: A Mixed-Methods Design
Maria Lizarazo Jimenez, Ana Gabriela Claros, Kieran Green +15
Large Language Models (LLMs) are increasingly demonstrating the potential to reach human-level performance in generating clinical summaries from patient-clinician conversations. Ho…
cs.CY2025
Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol
Misk Al Zahidy, Kerly Guevara Maldonado, Luis Vilatuna Andrango +7
The promise of AI in medicine depends on learning from data that reflect what matters to patients and clinicians. Most existing models are trained on electronic health records (EHR…
cs.CL2024
Use of natural language processing to extract and classify papillary thyroid cancer features from surgical pathology reports
Ricardo Loor-Torres, Yuqi Wu, Esteban Cabezas +10
Background We aim to use Natural Language Processing (NLP) to automate the extraction and classification of thyroid cancer risk factors from pathology reports. Methods We analyzed…