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Commercially available AI system for breast cancer detection shows promise for risk prediction, including among women with dense breasts

Transpara’s imaging-based measures combined with volumetric density improved discrimination of invasive breast cancer. Including these measures in risk models could

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Can artificial intelligence (AI) completely replace human reader in mammography screening program? A retrospective evaluation with digital mammography (DM) and digital breast tomosynthesis (DBT)

Transpara could be used alone in screening programs with DM but with DBT it would be necessary to increase the

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The potential of AI to reduce interval cancer in a middle income country breast cancer screening program

Transpara has the potential to reduce the rate of interval cancers, when applied as a second or third independent reader

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Replacing a radiologist by AI in Dutch population based breast cancer screening and the impact of breast density on performance

Transpara provides higher sensitivity than the first reader and is complimentary hence Transpara has potential as second reader but an

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Artificial Intelligence as a support to the radiologists’ screen reading of mammograms – A retrospective study

Transpara marks a substantial number of the screen-detected and interval cancer and could potentially aid radiologists in their screen-reading and

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Using autonomous AI to reduce the workload of breast cancer screening with breast tomosynthesis: a retrospective validation

Conclusion: Transpara can confidently identify very likely normal 3D exams in screening that could be prevented from double reading, therefore

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