When Ultrasound Meets AI: The Future of Breast Imaging
Artificial intelligence (AI) is rapidly transforming breast ultrasound, offering new opportunities to improve lesion characterization, diagnostic confidence, and workflow efficiency. Current AI-based software solutions support radiologists through automated lesion detection, standardized BI-RADS assessment, risk stratification, and decision-support tools, demonstrating promising results in sensitivity, specificity, and interobserver agreement.
However, the clinical performance of AI is closely linked to image quality, underscoring the fundamental role of high-end ultrasound systems in breast cancer diagnosis. Advances in transducer technology, spatial resolution, Doppler sensitivity, elastography, and image post-processing remain essential to maximize both human and artificial interpretation.
This presentation provides an up-to-date review of available AI software for breast ultrasound, summarizing current evidence, clinical results, and limitations. In parallel, it highlights the importance of state-of-the-art ultrasound platforms, with a focus on the latest high-end Canon systems, as the cornerstone for accurate imaging, reliable AI integration, and optimal patient care.
Workshop recording from ECR 2026
Dr. Silvia Pérez Rodrigo
Radiologist Head of the Breast Radiology Section MD Anderson Cancer Center Madrid, SpainCourse Information
At the end of this lecture, delegates will:
- Understand the current capabilities and clinical evidence of artificial intelligence in breast ultrasound.
- Recognize the critical role of high-end ultrasound technology in achieving accurate diagnosis and effective AI implementation
This educational talk was created on 6th March 2026. All information contained in this session was correct at the time of distribution.
Disclaimer: Appearing on the Canon Medical Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.
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