Body Vision Medical has released a new software update for its LungVision navigation and real-time imaging platform.
LungVision v2.27 provides Body Vision's AI Tomo imaging algorithm with a larger field of view. This version improves the reach and fidelity of the virtual bronchoscopy in peripheral airways, helps improve pathway planning, and converts LungVision fluoroscopes into an intraoperative tomographic imaging system for C-arm navigation and guidance, according to the company.
Updated Body Vision Medical AI Tomo with larger field of view. Image courtesy of Body Vision Medical.
Body Vision plans to demonstrate LungVision v2.27 at the upcoming American Association for Bronchology and Interventional Pulmonology (AABIP) annual conference in Charlotte, NC.
![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)
