Therapixel Case Study: AI Confirms Radiologist’s Suspicion Using MammoScreen

DomAIn Knowledge

Therapixel Case Study: AI Confirms Radiologist’s Suspicion Using MammoScreen

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 Confirms Radiologist’s Suspicion

Introduction

A clinical study compared the performance of radiologists reading with and without MammoScreen® 3D

Clinical Study

A 6 mm irregularly marginated nodular asymmetry was detected in the deep outer right breast as seen in the CC projection. In addition, a few associated calcifications were detected. After a biopsy, this was confirmed to be cancer. All radiologists in the reader study found cancer when assisted by MammoScreen. Five radiologists missed the cancer when unassisted by MammoScreen.

Conclusion

The AI-guided detection support of MammoScreen can confirm radiologists’ suspicion and assist in making an accurate, timely diagnosis.  

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ARA Health Specialists

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CASE STUDY

Sutter Health

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