A new podcast from the French Society of Radiology (SFR) features Dr. Brigitte Seradour, an expert involved in organized breast cancer screening.
Brigitte Seradour, MD.
Seradour is a radiologist based in Marseille who specializes in the study of diseases that affect the breast. She is president of the Provence-Alpes-Côte-d'Azur regional cancer screening coordination center and president of the national association of CRCDCs (Regional Cancer Screening Coordination Centers). She has made major contributions to establishing organized breast cancer screening in France, SFR said.
The podcast was published on 3 December and runs for 43 minutes. X-ray trajectory(ies) is a series of podcasts in which “we invite you to decipher the life paths of personalities who have left their mark on radiology,” according to SFR.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
