Konica Minolta Unveils New PACS/RIS Platform for Radiologists
The Exa PACS/RIS platform reportedly combines AI-enabled worklist navigation tools with advances in multiplanar functionality and 3D-generated image segmentation.
Offering enhanced imaging capabilities as well as artificial intelligence (AI)-powered tools to promote radiology workflow efficiencies, Konica Minolta has launched the Exa PACS/RIS platform.
Key features of Exa PACS/RIS include the cloud-native NewVue feature, which utilizes AI to enhance efficient worklist navigation, and an automated tool from Clearpath Technologies that streamlines digital sharing of images and records with other providers, according to Konica Minolta.
Artificial-intelligence (AI) powered worklist navigation, improved multiplanar image reconstruction and streamlined sharing of images with other providers are some of the included feature with the newly launched Exa PACS/RIS platform. (Image courtesy of Konica Minolta.)
The company added that Exa PACS/RIS provides bolstered multiplanar reconstruction as well as 3D image reconstruction and segmentation, all of which can be viewed without clicking out of the Exa viewer.
“Confident diagnosis requires more than a single imaging study—it demands the right information, in the right place, at the right time. Our next-generation Exa PACS|RIS delivers powerful clinical and workflow tools, transforming data into actionable insights for smarter decision-making,” noted Matthew Andersen, the executive director of product management for Konica Minolta HCIT.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
