- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
TeraRecon Launches AI-Driven Neuroimaging Platform
TeraRecon Neuro reportedly offers six automated and customizable computed tomography (CT) perfusion maps that facilitate assessment of brain function in hemorrhagic and ischemic neurological cases.
A new artificial intelligence (AI)-powered neuroimaging platform may offer adjunctive benefits for timely assessment and treatment decisions in neurovascular emergencies.
One of the benefits of TeraRecon Neuro is automated screening for challenging cases involving possible intracerebral hemorrhages (ICHs) and large vessel occlusions (LVOs), according to TeraRecon, the manufacturer of the platform.
The company said TeraRecon Neuro enables radiologists to modify the platform’s algorithm to optimize AI outputs. TeraRecon noted the TeraRecon Neuro platform, viewable on diagnostic desktop viewers and via a mobile app, also enhances the assessment of brain function with six customizable computed tomography (CT) perfusion maps.
“We believe the best use case scenario is not autonomous AI, but rather expert clinical supervision that is augmented by AI-driven insights. TeraRecon Neuro was designed to accommodate all care team members and workflows, while simultaneously maintaining standardization across the care continuum to ensure timely delivery of coordinated care for numerous neurovascular emergencies,” noted Dan McSweeney, the president of TeraRecon.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
