Blackford and Us2.ai are partnering to bring echocardiography analysis tools to the Blackford Platform, which integrates artificial intelligence (AI) applications with medical imaging workflows.
The companies said machine-learning technology from Us2.ai can reduce the time to process and interpret echocardiograms from 30 minutes to under two minutes. The software analyzes all the heart chambers for studies acquired by echocardiographers. With the application, 2D and Doppler views are used to create an echo report with findings for heart structure and function.
The companies also said that cardiac measurements included in the software cover most standard measurements for adult transthoracic echocardiography recommended by the American and British Societies of Echocardiography and the European Association of Cardiovascular Imaging.
![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)
