Ray Plummer[email protected]CareersThe gig economy and the virtual healthcare executiveThe rise of the gig economy is changing how we consume everything from vacation rentals to transportation. Is healthcare next? Ray Plummer from Skinner and Associates sees rising interest in virtual healthcare executives as an example of how the gig economy could be coming to a hospital near you.February 13, 2018Page 1 of 1Top StoriesAIRadiologists can identify three out of four AI-generated imagesRadiologists found it particularly difficult to distinguish between real and AI-generated CT and MR images.Womens ImagingWomen's Imaging MinnieCast, Episode 13: Partial breast irradiation in the spotlightAIRadiology dominates thirty years of FDA AI device approvalsRadiologic TechnologistPetition seeks to increase number of attempts for taking ARRT examLegislationSocieties applaud introduction of Patients First Act
![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)
