Therapixel Case Study: AI Helps to Avoid False Positive Recall

Ferrum Health partners with best-in-class AI providers offering solutions designed to reduce radiology workload and improve patient care.Therapixel Case Study: AI Helps to Avoid False Positive RecallIntroductionA clinical study, reviewing a benign diagnosis, compared the performance of radiologists reading with and without MammoScreen® 3D. Clinical StudyClustered 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%.

ConclusionThe 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?Contact the Ferrum Health team to learn more.