Instead of delivering an organized breast screening service that treats all women between the ages of 50 and 74 in an identical way, the future is likely to be about the evolution of a more personalized approach, according to Prof. Isabelle Thomassin-Naggara, head of the Specialized Radiological and Interventional Imaging Service (IRIS) at AP-HP Sorbonne University, Tenon Hospital, Paris.
More variations will arise in the age at which screening begins, possibly moving to 40 years of age, and changes will occur in the optimal imaging methods and the frequency of screening. These issues will be determined by a better assessment of each woman's risk, and the wider implementation of AI will also have a significant impact in the future, she predict.
In a video interview recorded ahead of the French national radiology congress, JFR 2024, Thomassin-Naggara, who is president of the Women's Imaging Society (SIFEM), discusses the latest trends in breast imaging. She also looks ahead to sessions at JFR 2024, which runs from 4 to 7 October in Paris.
Video produced by Christof.G.Pelz | GRAFIFANT Creation | www.grafifant.at | 2024









![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&fit=crop&h=112&q=70&w=112)









