mlsanityData to 7 Oct 2026

RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction

arXiv 2308.05046 ↗First posted 9 Aug 2023cs.CL cs.LGcited by 11

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Abstract (arXiv)

We present RadGraph2, a novel dataset for extracting information from radiology reports that focuses on capturing changes in disease state and device placement over time. We introduce a hierarchical schema that organizes entities based on their relationships and show that using this hierarchy during training improves the performance of an information extraction model. Specifically, we propose a modification to the DyGIE++ framework, resulting in our model HGIE, which outperforms previous models in entity and relation extraction tasks. We demonstrate that RadGraph2 enables models to capture a wider variety of findings and perform better at relation extraction compared to those trained on the original RadGraph dataset. Our work provides the foundation for developing automated systems that can track disease progression over time and develop information extraction models that leverage the natural hierarchy of labels in the medical domain.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 25 of its 46 references that are in the map. First posted on arXiv 9 Aug 2023.

Builds on

25 of 46 references.

References · 25

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
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  4. 2019CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparisoncited by 1,410
  5. 2020Domain-Specific Language Model Pretraining for Biomedical Natural Language Processingcited by 996
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  7. 2020CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERTcited by 329
  8. 2021RadGraph: Extracting Clinical Entities and Relations from Radiology Reportscited by 310
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  10. 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 261
  11. 2023MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiologycited by 149
  12. 2023Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generationcited by 114
13 more
  1. 2021Chest ImaGenome Dataset for Clinical Reasoningcited by 89
  2. 2017NegBio: a high-performance tool for negation and uncertainty detection in radiology reportscited by 79
  3. 2021Knowledge Matters: Radiology Report Generation with General and Specific Knowledgecited by 68
  4. 2020Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labelscited by 56
  5. 2023Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generationcited by 37
  6. 2018Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learningcited by 34
  7. 2016CoType: Joint Extraction of Typed Entities and Relations with Knowledge Basescited by 28
  8. 2021VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labelscited by 27
  9. 2022Cross-modal Clinical Graph Transformer for Ophthalmic Report Generationcited by 24
  10. 2020CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Outputcited by 23
  11. 2021Gradual Fine-Tuning for Low-Resource Domain Adaptationcited by 23
  12. 2018Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Losscited by 20
  13. 2019Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learningcited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 3; 2026: 3.

11 papers.

  1. 2024LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generationcited by 14
  2. 2023Retrieving Evidence from EHRs with LLMs: Possibilities and Challengescited by 8
  3. 2025Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretationcited by 8
  4. 2024Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphscited by 7
  5. 2025CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluationcited by 5
  6. 2026MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Datacited by 5
  7. 2025Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathwayscited by 4
  8. 2026RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findingscited by 1
  9. 2024A Dual-View Approach to Classifying Radiology Reports by Co-Trainingcited by 0
  10. 2024MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reportingcited by 0
  11. 2026RadLite: Multi-Task LoRA Fine-Tuning of Small Language Models for CPU-Deployable Radiology AIcited by 0