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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.CL2025
Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Consequences of Incidental Thyroid Findings
Felipe Larios, Mariana Borras-Osorio, Yuqi Wu +18
Importance Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, and clinical consequences rema…
cs.CL2025
Developing an AI framework to automatically detect shared decision-making in patient-doctor conversations
Oscar J. Ponce-Ponte, David Toro-Tobon, Luis F. Figueroa +5
Shared decision-making (SDM) is necessary to achieve patient-centred care. Currently no methodology exists to automatically measure SDM at scale. This study aimed to develop an aut…