2 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…