Farah E. Shamout

Farah Shamout is an assistant professor and emerging scholar in computer engineering at NYU Abu Dhabi, where she leads the Clinical Artificial Intelligence Laboratory. Her research focuses on using AI, data science, and machine learning to solve real-world medical problems. Before joining NYU Abu Dhabi, Shamout completed her DPhil (PhD) in engineering science at the University of Oxford in 2019 at the Computational Health Informatics Laboratory on the Rhodes Scholarship.

Posts by Farah E. Shamout

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Improving Breast Cancer Detection in Ultrasound Imaging Using AI

Although ultrasound imaging is often used to detect breast cancer, especially mammographically occult cancers, its disadvantage is that it leads to high false-positive rates. We develop an AI system that achieves radiologist-level accuracy in identifying cancer. It is interpretable, achieves high accuracy on an external test set, and is trained in a weakly supervised manner. 6 MIN READ