AI-Powered Liver Tumor Ablation Software Leverages CT, MRI and Ultrasound for Real-Time Image Guidance

News
Article

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.

Recent Videos
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.