Sahar Mansour, Professor of Radiology at Kasr Al-Ainy Hospital, Cairo University, and Consultant of Breast Imaging and Intervention at Baheya Charity Women’s Cancer Hospital, shared a post on LinkedIn:
“Recent research continues to highlight the transformative role of artificial intelligence in breast imaging, showing improved cancer detection rates and reduced false-negative findings ultimately contributing to better patient outcomes and earlier diagnosis.
Our study, based on work conducted at Kasr Al Ainy – School of Medicine, Cairo University, that investigated the added value of integrating AI-based mammographic interpretation with sonomammography, and demonstrated that this combination can enhance diagnostic sensitivity and support breast lesion detection.
I would like to express my sincere appreciation to my co-authors and colleagues for their collaboration.”
Title: Operational insights into AI-assisted mammographic interpretation for enhanced sono-mammography performance
Authors: Sahar Mansour, Aya Mohamed Bassam Hashem, Sandy Maher, Mohamed Emam Mohamed, Basma Alkalaawy
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