Research map: AI as Core Infrastructure in Radiology: Moving Beyond Pilots to Operational Excellence

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Papers in this map

  1. The Clinician and Dataset Shift in Artificial Intelligence · Samuel G. Finlayson · 2021 · 806 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. Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA · Adrian P. Brady · 2024 · 92 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. Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT · Laurens Topff · 2023 · 81 citations · Cited by this paper
  6. LCRE-Net: A Lightweight Cross-Scale Residual Enhancement Network for Lung Segmentation in CT Images · 2026 · Related
  7. A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports · Tobias Jorg · 2024 · 63 citations · Cited by this paper
  8. Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets · 2026 · Related
  9. Implementation of Machine Learning Software on the Radiology Worklist Decreases Scan View Delay for the Detection of Intracranial Hemorrhage on CT · Daniel Thomas Ginat · 2021 · 43 citations · Cited by this paper
  10. User Interface Design for AI-Based Medical Imaging: A Scoping Review · 2026 · Related
  11. Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice · Bart-Jan Boverhof · 2024 · 40 citations · Cited by this paper
  12. Deep Generative Translation of Standard Images into Virtual High-Energy Images for Facilitating Dual-Energy Chest Radiography · 2026 · Related
  13. Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How? · Dania Daye · 2022 · 26 citations · Cited by this paper
  14. Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis · 2026 · Related
  15. A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree · 2026 · Related
  16. LSMA-PQR: A Comprehensive Dataset of Lumbar Spine Multi-View Annotations with Pfirrmann Grading, Quantitative Measurements, and Structured Radiological Reports · 2026 · Related
  17. AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies · 2026 · Related

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