AI in Breast Imaging

AI in Breast ImagingAdvancing intelligence, empowering decisions​

AI in breast imaging

Our AI‑powered solutions and partnerships in mammography are designed to help meet the growing demands of modern breast imaging—from increased screening needs to workforce shortages and rising data complexity.
By supporting technologists, radiologists, and clinicians throughout the imaging pathway, these tools assist with clinical decision‑making, help streamline workflows, and provide information that can guide more individualized approaches to breast cancer detection and diagnosis.

Diagnostic Support¹: Provides AI‑based insights that can assist radiologists in reviewing mammography exams.

Workflow Efficiency²: Offers tools shown in studies to streamline workflows and reduce radiologists’ reading workload by up to 33%, helping teams manage higher case volumes.

Patient Care: Supports decision‑making with information that may help reduce unnecessary biopsies and guide personalized care planning.

Learn more about AI in breast imaging!

How AI supports radiologists in breast imaging

 

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AI-assisted breast imaging has been shown to increase the cancer detection rate by up to 29%4, supporting earlier detection and improved diagnostic confidence.

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Artificial Intelligence for breast imaging significantly reduces the screening workload—by up to 33%2—and enables risk stratification, such as breast density analysis empowering clinicians to select the most appropriate imaging modality.

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AI has shown the potential to decrease the false positive rate by 32%2, thereby improving the accuracy of mammogram interpretations.

Transforming Breast Imaging with AI​


Our AI-powered solutions and partnerships in mammography are designed to meet the urgent demands of modern healthcare: the growing need for diagnostic services, the shortage of radiology experts, and the increasing volume of complex data. 
By empowering technologists, radiologists, and clinicians throughout the breast imaging pathway, AI helps to enhance clinical precision, supports faster, more confident decisions, and paves the way for more personalized and effective breast cancer detection and diagnosis. 

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Higher Diagnostic Accuracy1

Supports radiologists with AI-powered insights to detect breast cancer earlier and more reliably. ​
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Increased Efficiency2

Optimizes acquisition and reading workflows, ​ including the generation of high-quality synthetic ​ 2D images from 3D data, ​ while reducing radiologists’ reading workload by​ up to 33%.​
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Better Patient Outcomes3

Helps to reduce unnecessary callbacks and invasive procedures by improving diagnostic confidence and enabling personalized care decisions.​
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