MedStreamBench integrates 22 medical datasets into 5,419 QA instances across retrospective, present, future, and proactive temporal settings to evaluate streaming and proactive medical video understanding.
Omniv-med: Scaling medical vision-language model for universal visual understanding
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
AtomiMed is a new modality-agnostic evaluation framework for medical report generation that decomposes reports into hierarchical atomic clinical facts and applies agentic cross-verification to achieve higher correlation with radiologist judgments than n-gram metrics.
UniReason-Med introduces a unified framework for 2D and 3D medical VQA with shared grounded reasoning, trained on a 220K dataset, claiming that joint 2D+3D supervision improves 3D performance over 3D-only training.
citing papers explorer
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AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation
AtomiMed is a new modality-agnostic evaluation framework for medical report generation that decomposes reports into hierarchical atomic clinical facts and applies agentic cross-verification to achieve higher correlation with radiologist judgments than n-gram metrics.