Spotlight
Topics
DI Executive
Subscribe
- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears AI Software for Assessing Intracerebral Hemorrhage on Non-Contrast CT
Facilitating timely diagnosis and intervention for brain bleeds, the artificial intelligence (AI)-powered Viz ICH Plus software may provide quantified assessment for intracranial hyperdensities, lateral ventricles and midline shifts.
The Food and Drug Administration (FDA) has granted 510(k) clearance for Viz ICH Plus software, which utilizes artificial intelligence (AI) to help quantify intracerebral hemorrhage on non-contrast computed tomography (CT) images.
For cases involving intracerebral hemorrhage, Viz ICH Plus offers automated detection, labeling, and volume quantification for segmentable brain structures, according to Viz.ai, the developer of the software.
The newly FDA-cleared Viz ICH Plus reportedly offers automated detection, labeling and volume quantification of intracerebral hemorrhage on non-contrast CT. (Image courtesy of Viz.ai.)
Given the critical nature of intracerebral hemorrhage, which reportedly accounts for 15 percent of strokes, the capability of Viz ICH Plus software to analyze intracranial hyperdensities, lateral ventricles and midline shifts may improve timely diagnosis and decision-making for appropriate treatments.
"The ability and mobility to obtain accurate and quantifiable measurements of intracerebral hemorrhages through Viz ICH Plus significantly enhances our decision-making process,” said Peter Kan, MD, MPH, FRCSC, FAANS, a professor and chair of the Department of Neurosurgery at the University of Texas Medical Branch. “This technology, which marries precision with AI, is poised to transform how we approach intracerebral hemorrhage cases."
Recent Videos
Related Content
Seven Takeaways from New CT and MRI Guidelines for Ovarian Cancer Staging
January 20th 2025Article
In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025Article
In 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.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Article
Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.
