- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
News Briefs: Sentillion’s CCOW compliance enhances Microsoft dashboard
Microsoft has chosen to make its Physician Digital Dashboard interface CCOW-compliant via Sentillion’s Vergence Context Management product. CCOW is part of the HL7 standard that establishes a common basis for synchronizing and coordinating access to
Microsoft has chosen to make its Physician Digital Dashboard interface CCOW-compliant via Sentillions Vergence Context Management product. CCOW is part of the HL7 standard that establishes a common basis for synchronizing and coordinating access to disparate applications containing patient information. CCOW-compliant software products work together behind the scenes through the Vergence context manager that enables them to act as a single system and information source from a clinicians perspective. For the Microsoft Physician Digital Dashboard, Vergence will enable the various Web parts (data from multiple information sources displayed on the dashboard) to coexist within a single integrated interface, meaning that information on a specific patient can be pulled from various systems and displayed simultaneously on the dashboard. The dashboard product also incorporates selected Microsoft Office features in a browser-style environment.
Can AI Bolster Breast Cancer Detection in DBT Screening?
January 16th 2025In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.
