- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
AI-Powered Liver Tumor Ablation Software Leverages CT, MRI and Ultrasound for Real-Time Image Guidance
Through the use of artificial intelligence (AI) and imaging modalities such as ultrasound, CT, and MRI, the newly FDA-cleared VisAble.IO software reportedly enhances planning and real-time assessment for liver tumor ablation procedures.
The Food and Drug Administration (FDA) has granted 510(k) clearance for VisAble.IO (TechsoMed), an artificial intelligence (AI)-enabled software that may facilitate improved real-time imaging guidance — through ultrasound and computed tomography (CT) or magnetic resonance imaging (MRI) — for liver tumor ablation procedures.
TechsoMed said the software’s advanced computation and image registration elevate the planning and real-time assessment of liver tumor ablation.
The company noted that key benefits of the VisAble.IO software include:
• three-dimensional (3D) anatomical views of ablation targets;
• overlay positioning of virtual instruments and ablation region estimates onto imaging; and
• immediate post-procedure 3D views to assess ablation margins and potentially missed volumes.
“There is a real need for a good and efficient assessment tool, and (VisAble.IO) can serve any physician performing thermal ablations,” noted Ryosuke Tateishi, M.D., Ph.D., an associate professor in the Department of Gastroenterology at the University of Tokyo.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
Study Shows Merits of CTA-Derived Quantitative Flow Ratio in Predicting MACE
December 11th 2024For patients with suspected or known coronary artery disease (CAD) without percutaneous coronary intervention (PCI), researchers found that those with a normal CTA-derived quantitative flow ratio (CT-QFR) had a 22 percent higher MACE-free survival rate.
