Using artificial intelligence (AI) to evaluate chest CT scans during the COVID-19 pandemic cut report turnaround time by about 30%, according to a study conducted in Russia by RadLogics and a Moscow imaging facility.
The reduction in turnaround time when scans were processed with RadLogic's AI-powered COVID-19 tool was equivalent to seven minutes per case, according to results presented by RadLogics and the Moscow Center for Diagnostics & Telemedicine at ECR 2021.
The study included approximately 128,000 chest CT scans reported by 570 participating radiologists at over 130 hospitals and outpatient clinics in Moscow. About 36,000 CT scans were processed by RadLogics' image analysis tool.
![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)
