The European Society of Radiology (ESR) has revealed the most downloaded articles in 2021 for its three journals: European Radiology, European Radiology Experimental, and Insights into Imaging.
By journal, the most downloaded articles were the following:
- European Radiology: Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis. This paper was downloaded 20,000 times.
- Insights into Imaging: Convolutional neural networks: an overview and application in radiology. This paper was downloaded 90,000 times.
- European Radiology Experimental: Statistical significance: p value, 0.05 threshold, and applications to radiomics -- reasons for a conservative approach. This paper was downloaded 27,000 times.
![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)
