Therapixel Case Study: AI MammoScreen 3D Detects Subtle Lesions

DomAIn Knowledge

Therapixel Case Study: AI MammoScreen 3D Detects Subtle Lesions

DomAIn Knowledge

Ferrum Health partners with best-in-class AI providers offering solutions designed to reduce radiology workload and improve patient care.

Therapixel Case Study: AI Detects Subtle Lesions

Introduction

Except for skin cancers, breast cancer is the most common cancer in women. When detected early, the 5-year survival rate is 99%. In a clinical study performed by Therapixel, cancer was detected utilizing MammoScreen® 3D one year earlier than by an unassisted radiologist reading.

Clinical Study

Architectural distortion in the upper outer left breast was detected in 2016 by the original reader. A prior exam dated 2015 was included in a clinical review in which MammoScreen highlighted the cancer with a score of 5. Thirteen radiologists recalled this case utilizing MammoScreen, while only 9 radiologists recalled it when unassisted. Additionally, utilizing MammoScreen reduced the reading time for this case by 21% on average.

Conclusion

The AI-guided detection support of MammoScreen empowers radiologists in their detection of subtle lesions improving the diagnosis time of cancer in patients.

Interested in deploying MammoScreen at your health facility?

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ARA Health Specialists

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Sutter Health

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