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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Therapixel
Therapixel

Therapixel

Founded by Amin Tadayon & Olivier Clatz & Pierre Fillard in 2013

Analyze medical imaging scans to detect breast cancer in screening mammograms

You can use Therapixel to assist radiologists in interpreting screening mammograms and identifying signs of breast cancer. Its primary technology, MammoScreen, analyzes medical imaging scans to detect suspicious lesions and assess breast cancer risk scores during routine clinical evaluations. Radiologists can use it as a concurrent or second reader to confirm findings, improve diagnostic accuracy, and reduce reading times. Medical centers and radiology clinics deploy it to manage screening workflows, prioritize abnormal cases, and support clinical decision-making during routine patient examinations.

What Therapixel does

Analyze screening mammograms for breast cancer markersCalculate risk scores for detected mammography abnormalitiesFlag suspicious breast regions for detailed radiologist reviewPrioritize high-risk patient studies in the radiology reading queueGenerate clinical suspicion metrics for mammogram findingsCompare mammography exams against algorithmic diagnostic modelsGenerates automated breast cancer risk scores for mammogramsHighlights suspicious soft tissue lesions and microcalcificationsActs as a second reader during mammogram examinationsPrioritizes patient worklists based on detected suspicion levelsProvides visual confidence indicators for suspicious breast findingsProcesses standard digital mammography and tomosynthesis images

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Therapixel, MammoScreen, medical imaging, radiology AI, breast cancer screening, mammography analysis, cancer detection, clinical radiology, mammogram reading, lesion detection, diagnostic imaging, healthcare AI, radiology reading assistance, medical imaging AI, breast screening