AI RESEARCH

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation

arXiv CS.CL

ArXi:2605.11533v1 Announce Type: new Clinical check-up reports are multimodal documents that combine page layouts, tables, numerical biomarkers, abnormality flags, imaging findings, and domain-specific terminology. Such heterogeneous evidence is difficult for laypersons to interpret and translate into concrete follow-up actions. Although large language models show promise in medical summarisation and triage, their ability to generate safe, prioritised, and patient-oriented actions from multimodal check-up reports remains under-benchmarked.