mlsanityData to 14 Oct 2026

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

arXiv 1712.05898 ↗First posted 16 Dec 2017cs.CLcited by 79

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Abstract (arXiv)

Negative and uncertain medical findings are frequent in radiology reports, but discriminating them from positive findings remains challenging for information extraction. Here, we propose a new algorithm, NegBio, to detect negative and uncertain findings in radiology reports. Unlike previous rule-based methods, NegBio utilizes patterns on universal dependencies to identify the scope of triggers that are indicative of negation or uncertainty. We evaluated NegBio on four datasets, including two public benchmarking corpora of radiology reports, a new radiology corpus that we annotated for this work, and a public corpus of general clinical texts. Evaluation on these datasets demonstrates that NegBio is highly accurate for detecting negative and uncertain findings and compares favorably to a widely-used state-of-the-art system NegEx (an average of 9.5% improvement in precision and 5.1% in F1-score).

Key facts. Cited by 79 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Dec 2017.

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Citing papers per year: 2021: 16; 2022: 15; 2023: 14; 2024: 15; 2025: 8; 2026: 11.

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  1. 2022MedCLIP: Contrastive Learning from Unpaired Medical Images and Textcited by 570
  2. 2021RadGraph: Extracting Clinical Entities and Relations from Radiology Reportscited by 319
  3. 2023MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiologycited by 149
  4. 2023Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Imagescited by 128
  5. 2024Vision-Language Models for Medical Report Generation and Visual Question Answering: A Reviewcited by 125
  6. 2024VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledgecited by 50
  7. 2022Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Studycited by 45
  8. 2021Progressive Transformer-Based Generation of Radiology Reportscited by 43
  9. 2023CLIP in Medical Imaging: A Surveycited by 40
  10. 2021RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reportingcited by 34
  11. 2021VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labelscited by 27
  12. 2022Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negationcited by 25
38 more
  1. 2022Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rayscited by 21
  2. 2021BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosiscited by 20
  3. 2022Medical Image Captioning via Generative Pretrained Transformerscited by 20
  4. 2022Improving negation detection with negation-focused pre-trainingcited by 14
  5. 2023MultiModN- Multimodal, Multi-Task, Interpretable Modular Networkscited by 14
  6. 2023A Systematic Review of Deep Learning-based Research on Radiology Report Generationcited by 14
  7. 2022Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understandingcited by 13
  8. 2023Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Trainingcited by 13
  9. 2023UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-trainingcited by 13
  10. 2023RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extractioncited by 11
  11. 2023Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Imagescited by 11
  12. 2023Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performancecited by 11
  13. 2021A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processingcited by 10
  14. 2022Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labelscited by 10
  15. 2024CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labelingcited by 10
  16. 2024Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learningcited by 10
  17. 2024X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluationcited by 10
  18. 2024Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classificationcited by 8
  19. 2021Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Casecited by 7
  20. 2022Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rayscited by 7
  21. 2023An empirical study of using radiology reports and images to improve ICU mortality predictioncited by 7
  22. 2023Several categories of Large Language Models (LLMs): A Short Surveycited by 7
  23. 2024Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphscited by 7
  24. 2021Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loopcited by 6
  25. 2021Modality and Negation in Event Extractioncited by 6
  26. 2023Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Modelcited by 6
  27. 2022Radiology Text Analysis System (RadText): Architecture and Evaluationcited by 5
  28. 2022Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamesecited by 5
  29. 2024Topicwise Separable Sentence Retrieval for Medical Report Generationcited by 5
  30. 2024Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labelscited by 5
  31. 2022Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalancescited by 4
  32. 2025MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generationcited by 4
  33. 2026Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Textcited by 4
  34. 2021Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortalitycited by 3
  35. 2021RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practicecited by 3
  36. 2025CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Modelscited by 3
  37. 2024Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodologycited by 2
  38. 2025Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approachescited by 2

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