Therapixel Case Study: AI Helps to Avoid False Positive Recall

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Therapixel Case Study: AI Helps to Avoid False Positive Recall


A clinical study, reviewing a benign diagnosis, compared the performance of radiologists reading with and without MammoScreen® 3D

Clinical Study

Clustered microcalcifications in the upper outer quadrant at the junction of the middle and posterior third of the breast were identified on a baseline mammogram by the original reader. A follow-up exam recommended a stereotactic biopsy of the microcalcifications. Results diagnosed the area of microcalcifications and surrounding tissue as benign.

MammoScreen correctly flagged this cluster on the mammogram with a score of 4 (low suspicion). During a reader study, 5 radiologists did not recall this case unassisted against 12 utilizing MammoScreen. Moreover, utilizing MammoScreen reduced the reading time on average by 29%.


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

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