According to publication authors, "the MASAI screen-reading procedure emphasised radiologists having access to breast AI lesion detection and risk information at screen reading to introduce a beneficial bias. By making radiologists aware of the cancer prevalence when reading low-risk and high-risk exams, this may influence them to reduce false positives in low cancer prevalence readings and reduce false negatives in high cancer prevalence readings by giving access to regional marks highlighting suspicious findings to lower the risk of overlooking potential findings."
The most clinically validated Breast AI on the market, Transpara provides radiologists with a 'second pair' of eyes to help detect cancers earlier and reduce recall rates.
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About ScreenPoint Medical
ScreenPoint Medical translates cutting edge machine learning research into technology accessible by radiologists to improve screening workflow, decision confidence and breast cancer risk assessment. Transpara is trusted by radiologists globally because it has been developed by experts in machine learning and image analysis and updated with user feedback from world-renowned breast imagers. See all the proof at: https://screenpoint-medical.com/published-evidence/peer-reviewed-publications
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