Research map: Swin-Qwen3: a three-stage vision–language framework for automated radiology report generation with multi-agent verification

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  1. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison · Jeremy Irvin · 2019 · 2724 citations · Cited by this paper
  2. First steps in clinical implementation of a lung nodule classification method by artificial intelligence · 2026 · Related
  3. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports · Alistair E. W. Johnson · 2019 · 1801 citations · Cited by this paper
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  5. Cross-modal Memory Networks for Radiology Report Generation · Zhihong Chen · 2021 · 320 citations · Cited by this paper
  6. Feasibility and safety of “filter-thrombus integrated retrieval technique” based on controlled deformation of spindle shaped IVC filters for complex IVC filter retrieval · 2026 · Related
  7. Evaluating progress in automatic chest X-ray radiology report generation · Feiyang Yu · 2023 · 184 citations · Cited by this paper
  8. CT-based subchondral bone microstructural analysis in knee osteoarthritis via MR-guided distillation learning · 2026 · Related
  9. Medical image captioning via generative pretrained transformers · Alexander Selivanov · 2023 · 103 citations · Cited by this paper
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  11. After-Hours Radiology: Challenges and Strategies for the Radiologist · Saurabh Rohatgi · 2015 · 62 citations · Cited by this paper
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  13. A survey on retrieval-augmentation generation (RAG) models for healthcare applications · Mohamed Ahmed Abo El-Enen · 2025 · 51 citations · Cited by this paper
  14. Imaging and procedural features of staged bilateral magnetic resonance-guided focused ultrasound thalamotomy for essential tremor · 2026 · Related
  15. Advancements in Standardizing Radiological Reports: A Comprehensive Review · Filippo Pesapane · 2023 · 49 citations · Cited by this paper
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  17. Vision-Language Model for Generating Textual Descriptions From Clinical Images: Model Development and Validation Study · Jia Ji · 2024 · 42 citations · Cited by this paper
  18. Transmantle sign-like calcified radial lesion on CT serves as a potential imaging feature for epileptogenic foci in tuberous sclerosis complex: a Case Report · 2026 · Related
  19. Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload · Steven Schalekamp · 2024 · 27 citations · Cited by this paper
  20. Development of a deep learning model for intussusception using point-of-care ultrasound · 2026 · Related
  21. Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges · Sara Salehi · 2025 · 27 citations · Cited by this paper
  22. CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions · Felipe André Zeiser · 2024 · 24 citations · Cited by this paper
  23. Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings · Queralt Miró Catalina · 2024 · 21 citations · Cited by this paper
  24. Lung imaging in COPD and asthma · Naoya Tanabe · 2024 · 20 citations · Cited by this paper
  25. Chest X-Ray Report Generation Using Abnormality Guided Vision Language Model · Dasith Edirisinghe · 2025 · 20 citations · Cited by this paper
  26. Automated image label extraction from radiology reports — A review · Sofia Cardoso Pereira · 2024 · 18 citations · Cited by this paper
  27. ChestBioX-Gen: contextual biomedical report generation from chest X-ray images using BioGPT and co-attention mechanism · Mohammed Yasser Ouis · 2024 · 12 citations · Cited by this paper
  28. Vision-language models in diagnostic imaging: review of technical advances, clinical validation, and practical deployment · Niharika Dutta · 2025 · 9 citations · Cited by this paper
  29. Natural Language Processing for Chest X‐Ray Reports in the Transformer Era: BERT‐Like Encoders for Comprehension and GPT‐Like Decoders for Generation · Han Yuan · 2025 · 8 citations · Cited by this paper
  30. FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models · Alice Heiman · 2025 · 8 citations · Cited by this paper
  31. CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats · Chambon, Pierre · 2024 · 7 citations · Cited by this paper
  32. Automatic radiology report generation with deep learning: a comprehensive review of methods and advances · Yilin Li · 2025 · 7 citations · Cited by this paper
  33. A medical report generation method integrating teacher–student model and encoder–decoder network · Shujun Zhang · 2024 · 6 citations · Cited by this paper
  34. Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical Implications · Yaara Artsi · 2025 · 6 citations · Cited by this paper
  35. The sensitivity of chest X-ray (CXR) for the detection of significant thoracic injury in children exposed to blast · Will Sargent · 2022 · 5 citations · Cited by this paper
  36. Accurate Clinical Entity Recognition and Code Mapping of Anatomopathological Reports Using BioClinicalBERT Enhanced by Retrieval-Augmented Generation: A Hybrid Deep Learning Approach · Hamida Abdaoui · 2025 · 5 citations · Cited by this paper
  37. Automatic Detection of COVID-19 from Chest X-Ray Images Using EfficientNet-B7 CNN Model with Channel-wise Attention · Mohamed Rami Naidji · 2024 · 4 citations · Cited by this paper
  38. Optimizing medical image report generation through a discrete diffusion framework · Shuifa Sun · 2025 · 3 citations · Cited by this paper
  39. Hierarchical Context Interaction and Reasoning with Transformer for Emotion Recognition · Wenxuan Wang · 2025 · 2 citations · Cited by this paper

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