Chinese artificial intelligence (AI) software developer Infervision has released its InferTest app to show how AI-powered tools can help radiology practices and other healthcare providers.
InferTest joins InferRead CT, the company's AI-powered automated lung cancer assistive screening tool.
Infervision also is scheduled to present several educational opportunities at the company's RSNA 2019 booth for attendees to learn more about AI. Sessions will be hosted by Wayne Davidson, chief information officer (CIO) of Quantum Imaging; Dr. Eliot Siegel, professor and vice chair at the University of Maryland School of Medicine; Matt Dewey, CIO of Wake Radiology; and Dr. Mike Esposito, CEO of PACSHarmony.
![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)
