AI-mediated ultrasound radiomics in the diagnosis and treatment of triple-negative breast cancer: research progress and future challenges - Scorecard - MDSpire

AI-mediated ultrasound radiomics in the diagnosis and treatment of triple-negative breast cancer: research progress and future challenges

  • By

  • Zhihe Wang

  • Yifan Wang

  • Tao Yu

  • Yan Yi

  • Ke Xue

  • Wei Xu

  • April 30, 2026

  • 0 min

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Clinical Scorecard: Advancements and Challenges in AI-Enhanced Ultrasound Radiomics for Diagnosing and Treating Triple-Negative Breast Cancer

At a Glance

CategoryDetail
Condition
Key MechanismsAI-mediated ultrasonic radiomics integrating machine learning and deep learning for tumor characterization and heterogeneity assessment.
Target Population
Care Setting

Key Highlights

  • Specify that multimodal imaging includes X-ray, ultrasound, and MRI.

Guideline-Based Recommendations

Diagnosis

    Management

    • Administer neoadjuvant chemotherapy based on anthracyclines and taxanes, including specific agents like doxorubicin and paclitaxel.

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Women diagnosed with Triple-Negative Breast Cancer.

        Chemotherapy remains the mainstay due to the absence of distinct molecular targets.

        Clinical Best Practices

        • Emphasize the need for validation of AI models across diverse patient populations.

        References

        Original Source(s)

        AI-mediated ultrasound radiomics in the diagnosis and treatment of triple-negative breast cancer: research progress and future challenges

        • by Zhihe Wang, Yifan Wang, Tao Yu, Yan Yi, Ke Xue, Wei Xu

        • April 30, 2026

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