Research map: Artificial Intelligence for radiation protection in medical imaging and radiotherapy: A perspective from the AI Working Party of ICRP Committee 3

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  1. High-performance medicine: the convergence of human and artificial intelligence · Eric J. Topol · 2018 · 10180 citations · Cited by this paper
  2. Comparison of breath hold and abdominal compression for liver SABR on C-arm Linac and MR Linac: A single institution retrospective planning study · 2026 · Related
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  7. Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects · Lennart R. Koetzier · 2023 · 424 citations · Cited by this paper
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  11. Need for Radiotherapy in Low and Middle Income Countries – The Silent Crisis Continues · Eduardo Zubizarreta · 2014 · 346 citations · Cited by this paper
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  13. Three‐dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations · Ana María Barragán Montero · 2019 · 195 citations · Cited by this paper
  14. Development and evaluation of a multi-detector semiconductor dosimetry system for source tracking and 3D dose reconstruction in high dose rate brachytherapy · 2026 · Related
  15. A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy · Xuming Chen · 2021 · 168 citations · Cited by this paper
  16. An innovative deep learning paradigm for automated detection and accurate classification of lung nodules in magnetic resonance imaging · 2026 · Related
  17. IMRT QA using machine learning: A multi‐institutional validation · Gilmer Valdés · 2017 · 165 citations · Cited by this paper
  18. Enhanced 3D-GRID radiotherapy on helical tomotherapy via personalized geometric optimization: A comparative study with IMRT and VMAT · 2026 · Related
  19. Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging · Xue Dong · 2019 · 149 citations · Cited by this paper
  20. Deep-learning image reconstruction algorithms for CT: A task-based image quality assessment of four CT systems using a phantom · 2026 · Related
  21. Adaptive Radiotherapy: Next-Generation Radiotherapy · Olga Maria Dona Lemus · 2024 · 135 citations · Cited by this paper
  22. Integration of AI and Machine Learning in Radiotherapy QA · Maria F. Chan · 2020 · 120 citations · Cited by this paper
  23. Knowledge‐based radiation treatment planning: A data‐driven method survey · Shadab Momin · 2021 · 119 citations · Cited by this paper
  24. Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles · Ali Shah Tejani · 2024 · 90 citations · Cited by this paper
  25. Use of artificial intelligence in computed tomography dose optimisation · Cynthia H. McCollough · 2020 · 87 citations · Cited by this paper
  26. Machine learning applications in radiation oncology: Current use and needs to support clinical implementation · Charlotte L. Brouwer · 2020 · 87 citations · Cited by this paper
  27. Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure · Yan-Ran Wang · 2021 · 79 citations · Cited by this paper
  28. Artificial Intelligence, Augmented Reality, and Virtual Reality Advances and Applications in Interventional Radiology · Elizabeth Von Ende · 2023 · 76 citations · Cited by this paper
  29. Use of Artificial Intelligence to Reduce Radiation Exposure at Fluoroscopy-Guided Endoscopic Procedures · Ji Young Bang · 2020 · 69 citations · Cited by this paper
  30. Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging · Yazdan Salimi · 2021 · 59 citations · Cited by this paper
  31. Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction · Damien Racine · 2021 · 58 citations · Cited by this paper
  32. Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives · Ayhan Can Erdur · 2024 · 52 citations · Cited by this paper
  33. Evaluation of a patient-specific Monte Carlo software for CT dosimetry · Marios E. Myronakis · 2009 · 49 citations · Cited by this paper
  34. Artificial intelligence in interventional radiology: Current concepts and future trends · Armelle Lesaunier · 2024 · 42 citations · Cited by this paper
  35. Radiomics and machine learning to predict aggressive type 2 endoleaks after endovascular aneurysm repair: a proof of concept · Stavros N Charalambous · 2021 · 39 citations · Cited by this paper
  36. Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy · Adam Szmul · 2023 · 35 citations · Cited by this paper
  37. Implementation of AI image reconstruction in CT—how is it validated and what dose reductions can be achieved · Samuel L. Brady · 2023 · 35 citations · Cited by this paper
  38. Clinical Documentation and Patient Care Using Artificial Intelligence in Radiation Oncology · Join Y. Luh · 2019 · 33 citations · Cited by this paper
  39. The testing of AI in medicine is a mess. Here’s how it should be done · Mariana Lenharo · 2024 · 32 citations · Cited by this paper

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