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Author

A. Serapio

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Open access Oct 2026

Planner-Executor Style Multimodal Agentic System to Answer Patient Questions in Lung Cancer Screening CT

Background: Accurate patient understanding of lung cancer screening (LCS) results is critical for engagement and follow-up adherence, given the currently low screening uptake. While artificial intelligence (AI) systems show promise in facilitating patient communication, its effective use in clinical settings requires a...

K. Sakiyama, A. Serapio, M. Ye et al. · 0 citations
Aug 2026

Radiologically Relevant Clinical History Summarization with Large Language Models: A Multireader Performance Study.

LLMs generated radiology-relevant indications from clinical notes that were more comprehensive and factual than clinician indications, and when generated by the proprietary LLM, were ranked most useful in protocoling and imaging interpretation.

A. Serapio, Timothy L. Chen, Brian Tangsombatvisit et al. · 1 citation

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