Computer-aided detection (CAD) developer Riverain Medical of Miamisburg, OH, announced the release of In Unison, designed to assist in the detection of lung nodules.
In Unison integrates Riverain's SoftView enhanced chest imaging and OnGuard chest x-ray CAD technologies. SoftView software analyzes chest x-rays to produce a bone-suppressed soft-tissue image to permit visualization of about 40% of the lung tissue usually obscured by bone. OnGuard identifies solitary pulmonary nodules using CAD capabilities.
With In Unison, these technologies are automatically presented as a SoftView image with OnGuard CAD markings, without interrupting workflow, according to the company.
Related Reading
Riverain names Bares to VP post, September 13, 2010
Riverain supplies SoftView to Siemens, July 19, 2010
Riverain nets FDA OK for upgraded OnGuard, June 21, 2010
Riverain wins Veterans Affairs contract, June 17, 2010
Riverain nets FDA OK for SoftView, March 25, 2010
Copyright © 2010 AuntMinnie.com



![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&fit=crop&h=100&q=70&w=100)





![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&fit=crop&h=112&q=70&w=112)







