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2 clusters · 5 sources · 9 days · First seen · Last updated

AI development for breast cancer diagnostics

Overview

Researchers are developing artificial intelligence tools to improve breast cancer diagnosis and risk assessment.

One new tool, IICM+, utilizes data from the TAILORx clinical study to predict long-term recurrence risks in patients with early-stage hormone receptor-positive, HER2-negative breast cancer, specifically targeting risks that emerge beyond a five-year window.

In Mexico, researchers at the Instituto Politécnico Nacional (IPN) have developed a system to accelerate mammography analysis. This tool classifies studies into low, medium, or high-risk levels by combining medical imaging with clinical data, such as family history and hormone therapy, to help specialists prioritize urgent cases.

Entities

Centro Médico ABC · Instituto Politécnico Nacional · ISSEMYM · International Agency for Research on Cancer · NENA México

Timeline

  1. [TECHNOLOGY] 2 sources
    IPN develops AI to detect breast cancer

    IPN researchers developed an AI system to analyze mammographies and estimate breast cancer risk, helping specialists prioritize high-risk patients using clinical data and medical imaging.

  2. [HEALTH] 3 sources
    Breast cancer: New AI tool predicts long-term recurrence risk

    New AI tool IICM+ aims to predict long-term breast cancer recurrence beyond five years, while Greece hosts the 18th Race for the Cure to raise awareness for the 9,000 annual local diagnoses.

Sources

diarioimagen.net · evimaserres.gr · newsbomb.gr · oncenoticias.digital · vita.gr