Research map: From Shadows to Signals: Exploring the Strengths and Limitations of AI in Breast Cancer Lesion Detection on Screening Mammograms Compared to Radiologists and Radiology Trainees

Back to the article

Papers in this map

  1. International evaluation of an AI system for breast cancer screening · Scott Mayer McKinney · 2020 · 3316 citations · Cited by this paper
  2. Less is more: the role of preoperative ultrasound as a risk stratifying tool in identifying low volume axillary disease in breast cancer · 2026 · Related
  3. Causability and explainability of artificial intelligence in medicine · Andreas Holzinger · 2019 · 1881 citations · Cited by this paper
  4. Patient education support is not equivalent to informed consent adequacy: reflections on the role of large language models in radiology · 2026 · Related
  5. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies · Myura Nagendran · 2020 · 1155 citations · Cited by this paper
  6. Imaging biomarkers for cardiometabolic risk stratification in metabolic dysfunction-associated steatotic liver disease: incremental value of coronary artery calcification, epicardial adipose tissue, controlled attenuation parameter, and liver stiffness measurement beyond clinical scores · 2026 · Related
  7. Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms · Etta D. Pisano · 1998 · 771 citations · Cited by this paper
  8. Updates in ultrasound-guided musculoskeletal interventions · 2026 · Related
  9. Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists · Alejandro Rodríguez‐Ruiz · 2018 · 703 citations · Cited by this paper
  10. Dosimetric robustness of tumour- and fiducial-based tracking in Radixact lung stereotactic body radiotherapy: a four-dimensional CT-based simulation using imaging-derived tracking-error scenarios · 2026 · Related
  11. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study · Kristina Lång · 2023 · 572 citations · Cited by this paper
  12. Pre-ablation Dual-Energy CT-derived Extracellular Volume Fraction Predicts Recurrence After Radiofrequency Ablation in Non-paroxysmal Atrial Fibrillation · 2026 · Related
  13. Artificial intelligence in radiology: 100 commercially available products and their scientific evidence · Kicky Gerhilde van Leeuwen · 2021 · 460 citations · Cited by this paper
  14. "Trabecular Architecture of the Medullary Cavity: A Comprehensive Review of Radiological Patterns, Pathological Alterations" · 2026 · Related
  15. Cumulative Probability of False-Positive Recall or Biopsy Recommendation After 10 Years of Screening Mammography · Rebecca A. Hubbard · 2011 · 419 citations · Cited by this paper
  16. Spatially fractionated radiotherapy using straight and bending virtual rods as an alternative for cervical cancer brachytherapy—results from preclinical in-silico dose comparison and quality assurance · 2026 · Related
  17. Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model · Adam Yala · 2021 · 201 citations · Cited by this paper
  18. PET/MR: history, current state, and technology · 2026 · Related
  19. Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program · Marthe Larsen · 2022 · 123 citations · Cited by this paper
  20. Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis · Margarita Posso · 2017 · 43 citations · Cited by this paper
  21. Improvement of Cancer Detection on Mammograms via BREAST Test Sets · Phuong Dung Trieu · 2019 · 43 citations · Cited by this paper
  22. Look how far we have come: BREAST cancer detection education on the international stage · Phuong Dung Trieu · 2023 · 34 citations · Cited by this paper
  23. Globally-Aware Multiple Instance Classifier for Breast Cancer Screening · Yiqiu Shen · 2019 · 33 citations · Cited by this paper
  24. A contemporary review of breast cancer risk factors and the role of artificial intelligence · Orietta Nicolis · 2024 · 33 citations · Cited by this paper
  25. Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme · Yan Chen · 2023 · 29 citations · Cited by this paper
  26. Exploring AI Approaches for Breast Cancer Detection and Diagnosis: A Review Article · Akbar Ali · 2025 · 28 citations · Cited by this paper
  27. How Mammographic Breast Density Affects Radiologists' Visual Search Patterns · Dana S. Al‐Mousa · 2014 · 27 citations · Cited by this paper
  28. Artificial intelligence in mammography: a systematic review of the external validation · Paulo Eduardo Souza Castelo Branco · 2024 · 23 citations · Cited by this paper
  29. The Impact of Artificial Intelligence on Cancer Diagnosis and Treatment: A Review · Niki Najar Najafi · 2025 · 16 citations · Cited by this paper
  30. AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway · Marie Burns Bergan · 2024 · 15 citations · Cited by this paper
  31. Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration · Zhengqiang Jiang · 2024 · 12 citations · Cited by this paper
  32. Reader characteristics and mammogram features associated with breast imaging reporting scores · Phuong Dung Trieu · 2020 · 9 citations · Cited by this paper
  33. AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions · Zhengqiang Jiang · 2024 · 9 citations · Cited by this paper
  34. Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography · Mattie Salim · 2023 · 8 citations · Cited by this paper

Source: OpenAlex (CC0)