Artificial Intelligence Method Improves Mammography Readings

September 07, 2016 Share this content: Artificial Intelligence Method Improves Mammography Readings Natural language processing (NLP) software correlated key characteristics expressed verbally in mammography reports with pathologic findings, providing an accurate indication for biopsy referral, a study published in Cancer has shown.1 More than 12.1 million mammographies are performed each year in the United States, prompting more than 1.6 million breast biopsies. However, the Centers for Disease Control and Prevention (CDC) estimates that 50% of mammographies yield false-positive results, with approximately 20% of resulting biopsies obtained from cancer-free breasts.  Continue Reading Below To address this issue, a team at Houston Methodist Cancer Center developed natural language processing (NLP) software algorithms to predict risk of breast cancer based on characteristics identified in mammography reports. The researchers searched the Methodist Environment for…

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