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Image: Farah Shamout, Assistant Professor of Computer Engineering at New York University
Ultrasound is still an important tool for screening, detecting and identifying breast cancer, usually combined with mammography
New York University School of Computer Engineering Assistant Professor Farah Shamout, an emerging scholar, and colleagues from New York University elaborated on them in a paper published in the journal Nature Communications, “Artificial Intelligence System Reduces False Positive Results in Breast Ultrasound Examination Interpretation” Discovery
Researchers used more than 280,000 ultrasound data sets from more than 140,000 patients examined at NYU Langone Health from 2012 to 2019 to develop and test their new system
To understand the potential value of this new artificial intelligence system in a clinical setting, the researchers conducted a reader study comparing its diagnostic accuracy with 10 certified breast radiologists
"Our findings highlight the potential of artificial intelligence to improve the accuracy, consistency, and efficiency of breast ultrasound diagnosis," said Dr.
Breast cancer is the most frequently diagnosed cancer among women worldwide and the leading cause of cancer-related deaths
