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Clinically Accurate Chest X-Ray Report Generation

arXiv 1904.02633 ↗First posted 4 Apr 2019cs.CV cs.CLcited by 138

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Abstract (arXiv)

The automatic generation of radiology reports given medical radiographs has significant potential to operationally and improve clinical patient care. A number of prior works have focused on this problem, employing advanced methods from computer vision and natural language generation to produce readable reports. However, these works often fail to account for the particular nuances of the radiology domain, and, in particular, the critical importance of clinical accuracy in the resulting generated reports. In this work, we present a domain-aware automatic chest X-ray radiology report generation system which first predicts what topics will be discussed in the report, then conditionally generates sentences corresponding to these topics. The resulting system is fine-tuned using reinforcement learning, considering both readability and clinical accuracy, as assessed by the proposed Clinically Coherent Reward. We verify this system on two datasets, Open-I and MIMIC-CXR, and demonstrate that our model offers marked improvements on both language generation metrics and CheXpert assessed accuracy over a variety of competitive baselines.

Key facts. Cited by 138 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Apr 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 16; 2022: 24; 2023: 30; 2024: 30; 2025: 22; 2026: 16.

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  1. 2022Making the Most of Text Semantics to Improve Biomedical Vision--Language Processingcited by 336
  2. 2023Towards Generalist Biomedical AIcited by 286
  3. 2022Cross-modal Memory Networks for Radiology Report Generationcited by 183
  4. 2023Conformal Language Modelingcited by 163
  5. 2024MAIRA-2: Grounded Radiology Report Generationcited by 140
  6. 2023Interactive and Explainable Region-guided Radiology Report Generationcited by 139
  7. 2021TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generationcited by 118
  8. 2023ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Modelscited by 116
  9. 2021Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Trainingcited by 96
  10. 2022Improving Chest X-Ray Report Generation by Leveraging Warm Startingcited by 93
  11. 2021Chest ImaGenome Dataset for Clinical Reasoningcited by 89
  12. 2022Improving the Factual Correctness of Radiology Report Generation with Semantic Rewardscited by 82
38 more
  1. 2022Competence-based Multimodal Curriculum Learning for Medical Report Generationcited by 74
  2. 2023MAIRA-1: A specialised large multimodal model for radiology report generationcited by 72
  3. 2021Contrastive Attention for Automatic Chest X-ray Report Generationcited by 71
  4. 2024FairCLIP: Harnessing Fairness in Vision-Language Learningcited by 69
  5. 2022AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generationcited by 65
  6. 2023KiUT: Knowledge-injected U-Transformer for Radiology Report Generationcited by 60
  7. 2022Cross-modal Prototype Driven Network for Radiology Report Generationcited by 58
  8. 2023Towards a Visual-Language Foundation Model for Computational Pathologycited by 52
  9. 2022Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priorscited by 48
  10. 2021Progressive Transformer-Based Generation of Radiology Reportscited by 43
  11. 2023CLIP in Medical Imaging: A Surveycited by 40
  12. 2021Weakly Supervised Contrastive Learning for Chest X-Ray Report Generationcited by 39
  13. 2023ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoningcited by 39
  14. 2023A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysiscited by 37
  15. 2021RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reportingcited by 34
  16. 2023Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesiscited by 32
  17. 2022Explainable Deep Learning Methods in Medical Image Classification: A Surveycited by 31
  18. 2023WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Imagescited by 31
  19. 2024Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generationcited by 30
  20. 2024Libra: Leveraging Temporal Images for Biomedical Radiology Analysiscited by 29
  21. 2023Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPTcited by 28
  22. 2022Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methodscited by 27
  23. 2021Automated Generation of Accurate & Fluent Medical X-ray Reportscited by 24
  24. 2022Graph Enhanced Contrastive Learning for Radiology Findings Summarizationcited by 24
  25. 2023Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generationcited by 24
  26. 2024Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trialscited by 24
  27. 2023Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generationcited by 23
  28. 2023Controllable Chest X-Ray Report Generation from Longitudinal Representationscited by 23
  29. 2024AutoRG-Brain: Grounded Report Generation for Brain MRIcited by 23
  30. 2023Rationalization for Explainable NLP: A Surveycited by 22
  31. 2023RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoningcited by 22
  32. 2022CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generationcited by 21
  33. 2022Medical Image Captioning via Generative Pretrained Transformerscited by 20
  34. 2021Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generationcited by 19
  35. 2024Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlookscited by 18
  36. 2022Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generationcited by 17
  37. 2021Variational Topic Inference for Chest X-Ray Report Generationcited by 16
  38. 2022RepsNet: Combining Vision with Language for Automated Medical Reportscited by 14

50 most cited of 138 All 138 (JSON)