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Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation
Jong Hak Moon, Geon Choi, Paloma Rabaey, et al.
A radiologist-annotated benchmark of structured chest X-ray reports at single and sequential levels, comprising 1,473 reports across 18 relation types and 80 longitudinal cases.
fine-grained structured reports
attribute-level clinical reasoning
medical text structuring
longitudinal clinical reasoning
chest x-ray report parsing
medical information structuring
benchmark dataset for radiology report
medical information extraction
structured radiology reports
temporal relation extraction
radiology report benchmarking
longitudinal clinical understanding
Published: Jan. 11, 2026.
Version: 1.0.0
Database
Credentialed Access
RadVLM Instruction Dataset
Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruiperez-Campillo, et al.
This dataset is designed to construct RadVLM, a vision–language model for chest X-ray interpretation. It includes instruction data for tasks such as report generation, abnormality detection, and region grounding, and multitask conversation.
chest x-rays
vision-language models
medical ai
Published: Sept. 25, 2025.
Version: 1.0.0
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Maintained by the MIT Laboratory for Computational Physiology
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Heart Lung and Blood Institute (NHLBI), and NIH Office of the Director under NIH grant numbers U24EB037545 and R01EB030362
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