Research map: Retrieval-Augmented Generation in Radiology: A Scoping Review of Architectures, Imaging Applications, and Directions for Equitable Deployment

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  1. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation · Andrea C. Tricco · 2018 · 44107 citations · Cited by this paper
  2. Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning · 2026 · Related
  3. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions · Lei Huang · 2024 · 2105 citations · Cited by this paper
  4. Patient-Level Cross-validated nnU-Net for Multiclass Segmentation of Lung Parenchyma and Solid Adenocarcinoma on Thoracic CT · 2026 · Related
  5. 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
  6. AI as Core Infrastructure in Radiology: Moving Beyond Pilots to Operational Excellence · 2026 · Related
  7. Preparing a collection of radiology examinations for distribution and retrieval · Dina Demner‐Fushman · 2015 · 1177 citations · Cited by this paper
  8. LCRE-Net: A Lightweight Cross-Scale Residual Enhancement Network for Lung Segmentation in CT Images · 2026 · Related
  9. PadChest: A large chest x-ray image dataset with multi-label annotated reports · Aurelia Bustos · 2020 · 705 citations · Cited by this paper
  10. Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets · 2026 · Related
  11. Retrieval augmented generation for large language models in healthcare: A systematic review · Lameck Mbangula Amugongo · 2025 · 230 citations · Cited by this paper
  12. User Interface Design for AI-Based Medical Imaging: A Scoping Review · 2026 · Related
  13. Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions · Tugba Akinci D’Antonoli · 2023 · 229 citations · Cited by this paper
  14. Observe, align, and enhance: a hierarchical retrieval-augmented vision-language model for generating radiology reports · 2025 · Related
  15. Heterogeneity and predictors of the effects of AI assistance on radiologists · Feiyang Yu · 2024 · 193 citations · Cited by this paper
  16. The radiology report — Are we getting the message across? · Anthony Wallis · 2011 · 189 citations · Cited by this paper
  17. Evaluating progress in automatic chest X-ray radiology report generation · Feiyang Yu · 2023 · 184 citations · Cited by this paper
  18. BI-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: Reporting and Data Systems · Julie Y. An · 2019 · 120 citations · Cited by this paper
  19. Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations · Burak Koçak · 2025 · 81 citations · Cited by this paper
  20. RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models · Peng Xia · 2024 · 62 citations · Cited by this paper
  21. Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation · Akihiko Wada · 2025 · 49 citations · Cited by this paper
  22. GREEN: Generative Radiology Report Evaluation and Error Notation · Sophie Ostmeier · 2024 · 48 citations · Cited by this paper
  23. Application of NotebookLM, a large language model with retrieval-augmented generation, for lung cancer staging · Ryota Tozuka · 2024 · 46 citations · Cited by this paper
  24. Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review · Yiqun Miao · 2025 · 31 citations · Cited by this paper
  25. RadioRAG: Online Retrieval–Augmented Generation for Radiology Question Answering · Soroosh Tayebi Arasteh · 2025 · 27 citations · Cited by this paper
  26. Leveraging foundation models for content-based image retrieval in radiology · Stefan Denner · 2025 · 25 citations · Cited by this paper
  27. Enhancing Large Language Models with Retrieval-Augmented Generation: A Radiology-Specific Approach · Dane Weinert · 2025 · 24 citations · Cited by this paper
  28. Evaluating Adherence to Canadian Radiology Guidelines for Incidental Hepatobiliary Findings Using RAG-Enabled LLMs · Nicholas Dietrich · 2025 · 22 citations · Cited by this paper
  29. Retrieval-Augmented Generation with Large Language Models in Radiology: From Theory to Practice · Anna Maria Fink · 2025 · 19 citations · Cited by this paper
  30. MKGF: A multi-modal knowledge graph based RAG framework to enhance LVLMs for Medical visual question answering · Yinan Wu · 2025 · 18 citations · Cited by this paper
  31. Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation · Yan Qin Yang · 2025 · 17 citations · Cited by this paper
  32. Multi-step retrieval and reasoning improves radiology question answering with large language models · Sebastian Wind · 2025 · 17 citations · Cited by this paper
  33. Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation · Liwen Sun · 2025 · 15 citations · Cited by this paper
  34. RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service · Yihang Cheng · 2025 · 15 citations · Cited by this paper
  35. Evaluating RadLex and Real World Radiology Reporting · Marta Elise Heilbrun · 2013 · 13 citations · Cited by this paper
  36. ChatGPT performance in assessing musculoskeletal MRI scan appropriateness based on ACR appropriateness criteria · Jin Rong Tan · 2025 · 13 citations · Cited by this paper
  37. Rethinking radiology reports: A survey of referring physicians’ perspectives · Philipp Reschke · 2025 · 13 citations · Cited by this paper
  38. Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG · H. Alam · 2025 · 13 citations · Cited by this paper
  39. Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis · Bayan Altalla’ · 2025 · 12 citations · Cited by this paper

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