The RSNA has named Dr. Charles Kahn Jr. as editor of the new online journal Radiology: Artificial Intelligence. The society plans to launch the journal early next year as a showcase for research in the burgeoning field of artificial intelligence (AI), deep learning, and machine learning.
Dr. Charles Kahn Jr.
The RSNA plans to launch Radiology: Artificial Intelligence early next year. The journal will be published online on a bimonthly schedule, focusing on emerging applications of machine learning and artificial intelligence across multiple imaging disciplines.
The society also plans to launch another bimonthly online journal, Radiology: Cardiothoracic Imaging, in the spring of 2019. Dr. Suhny Abbara will be the editor.
![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)
