{
  "id": 6643623,
  "title": "AI-assisted imaging tool for breast cancer could tailor screening for women according to individual risk",
  "url": "https://urgent.news/2026/09/10/ai-assisted-imaging-tool-for-breast-cancer-could-tailor-screening-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T21:20:09.000Z",
  "source": {
    "name": "Medical Xpress",
    "slug": "medical-xpress",
    "url": "https://medicalxpress.com/news/2026-09-ai-imaging-tool-breast-cancer.html"
  },
  "original_language": "en",
  "account": "Researchers at NYU Langone Health developed an AI-assisted imaging tool called NYU-DRP, which analyzes multiple years of a woman's 3D mammograms to predict the risk of developing breast cancer within five years. The tool outperformed others in predicting higher-risk cases, correctly identifying those at higher risk 72% of the time, compared to 70% and 68% for single DBT and AI-assisted 2D testing, respectively. NYU-DRP was created using 313,531 yearly 3D mammograms from 161,165 women without breast cancer who had tests at NYU Langone hospitals between 2016 and 2020. When compared to the Tyrer-Cuzick risk assessment, NYU-DRP was more effective, correctly predicting higher-risk cases 67% of the time, while Tyrer-Cuzick accurately predicted 56% of the time. The study found that breast density alone did not accurately predict a woman's risk, as dense tissue was misclassified in some cases. The NYU-DRP model identified a lower percentage of women with less-dense, fatty breasts as high-risk compared to actual cases. Researchers plan to further test the tool and share data with other academic centers and 3D mammogram manufacturers.",
  "summary": "An artificial intelligence model that analyzes women's past and recent annual 3D mammograms is more effective at predicting the five-year risk of developing breast cancer than a tool that uses only the most recent 3D mammogram, as well as an AI model that analyzes 2D mammograms, a new study shows.",
  "key_points": [
    "NYU-DRP AI tool analyzes 3D mammograms over 3 years to predict breast cancer risk",
    "Tool identifies high-risk cases 72% accurately, surpassing single DBT and AI-assisted 2D testing",
    "NYU-DRP outperforms Tyrer-Cuzick risk assessment, correctly predicting higher-risk cases 67%"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}