Research map: Mammography-Based Deep Learning Model Better Than Breast Density at Predicting Breast Cancer Risk

Back to the article

Papers in this map

  1. A Deep Learning Breast Cancer Risk Model for Precise Supplemental Screening · Leslie R. Lamb · 2026 · 1 citation · Cited by this paper
  2. The Need for a Practical Reporting Framework for Pelvic Venous Findings on Imaging · 2026 · Related
  3. Isolated Axillary Lymphadenopathy in Women Without a Known Breast Cancer Diagnosis: A Multicenter Study of Biopsy Outcomes · 2026 · Related
  4. A Multisociety Statement Provides Guidance on Optimizing Radiography Utilization for Low-Yield Anatomic Sites · 2026 · Related
  5. Clinical Implementation of Opportunistic Screening for Osteoporosis · 2026 · Related
  6. Vision Language Models for Ultrasound Assessment of Suspicious Axillary Lymph Nodes in Breast Cancer · 2026 · Related
  7. Artificial Intelligence Is Not a Panacea: LungIMPACT Trial Shows Prioritization Cannot Overcome Systemic Delays in Lung Cancer Diagnosis · 2026 · Related
  8. The Next Frontier in Coronary CTA: Reliable Coronary Stent Assessment Through Technical Innovation · 2026 · Related
  9. Author Disclosure of Use of Generative Artificial Intelligence Technologies in Submissions to AJR : Reflections From the AJR Editor in Chief · 2026 · Related
  10. The Intestinal Stroke Pathway: Redefining the Radiologist's Role in Mesenteric Ischemia · 2026 · Related
  11. Utilization of Emergency Department (ED) Neuroimaging From 2016 to 2025: Analysis in Over 3 Million ED Encounters from the Multicenter Cosmos EHR Dataset · 2026 · Related

Source: OpenAlex (CC0)