The RSNA plans to hold two webinars at the end of this month that will cover the topics of workflow and artificial intelligence (AI).
The first webinar is called "Beyond the worklist: Optimizing imaging workflow and creating equitable distribution among radiologists," and it will be held on October 26 from 11:00 a.m. to noon Central time. It is co-sponsored by Nuance and will be moderated by Dr. Anjali Agrawal of Baylor College of Medicine in Houston, TX.
The second webinar is called "Artificial Intelligence: Reflections During COVID-19 and Looking Ahead," and it will be held on October 29, also from 11:00 a.m. to noon Central time. It is co-sponsored by Zebra Medical Vision and will be moderated by Dr. Matthew Lungren of Stanford University.
![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.auntminnie.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)
