MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation
Large language models (LLMs) are increasingly deployed in online medical consultation, yet existing benchmarks remain poorly aligned with real clinical practice. Many rely on synthetic conversations or patient simulators, omit patient-uploaded medical images, or evaluate open-ended clinical responses using multiple-choice or lexical-overlap metrics that poorly reflect clinical quality. We introduce \textbf{MedRealMM}, a large-scale benchmark for multimodal online medical consultation built from de-identified patient-doctor interactions collected from a nationwide Chinese internet hospital. Med
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- PossiblePossibly related (embedding) · 56%tyang816/Awesome-TCM-LLM →
- PossiblePossibly related (embedding) · 52%Atomic-man007/Awesome_Multimodel_LLM →
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- PossiblePossibly related (embedding) · 50%Clinician Use of a General-Purpose Large Language Model in Hospital Medicine: A Mixed-Methods Pilot Study - Cureus →
- PossiblePossibly related (embedding) · 50%Co-pilot, Not Autopilot: A Practical Method for Using Large Language Models in Interventional Cardiology - EMJ →
- LinkedLinked via arxiv author · 85%Runhan Shi →
“MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation”
- LinkedLinked via arxiv author · 85%Quan Zhou →
“MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation”
- LinkedLinked via arxiv author · 85%Yuqian Xu →
“MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation”