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:
“I missed a subtle contralateral carcinoma on air. It was a three-hour live session, when my attention had been drawn to a large, obvious carcinoma in the right breast, and I unconsciously fell into a classic cognitive bias, ‘satisfaction of search’.
The AI system, however, flagged the tiny lesion on the opposite side, and one of the trainees, Rehab Elsayed, confirmed it.
This wasn’t just a technical win for AI; it was a powerful reminder of the core principle of screening: two independent readings, ideally one aided by AI, to act as a second reader immune to human fatigue, bias, or anchoring.
Special thanks to FUJIFILM Healthcare Middle East and Africa, in the person of Atsushi Tateishi and Mohammed Ahmed Sokrab, for generously sponsoring the online course ‘AI-Assisted Mammogram Interpretation’, and to Dr. Sergej Popovich for hosting the sessions through the Mammologicum platform. Your support made this impactful experience possible.”
Proceed to the video attached to the post.
More posts featuring Sahar Mansour.