Adjunctive Brain Volume Quantification Tool for MRI Gets FDA Clearance
Providing automated brain volume calculations based on MRI images, NeuroShield’s artificial intelligence (AI)-powered technology may help facilitate treatment for neurodegenerative conditions ranging from Alzheimer’s disease to epilepsy.
A brain volume quantification tool that may provide early insights on neurodegenerative conditions based on magnetic resonance imaging (MRI) assessment, the artificial intelligence (AI)-enabled NeuroShield has garnered 510(k) clearance from the Food and Drug Administration (FDA).
Currently being utilized in over 200 facilities across the world, NeuroShield offers automated brain volume assessment based upon 3D MRI scans, according to InMed.AI (InMed Prognostics), the developer of NeuroShield.
The company noted that the brain segmentation analysis provided with NeuroShield has demonstrated high accuracy rates across different clinical subgroups and magnetic strengths in a trial of 280 subjects. InMed.AI noted that NeuroShield may aid in the early detection of brain atrophy, possibly facilitating timely intervention for those at risk of dementia, Alzheimer’s disease and other neurodegenerative conditions.
“We believe that investing in our collective human future and that technology is a great lever to move towards precision health to extend quality of life,” added Latha Poonamallee, Ph.D., the founder and CEO of InMed Prognostics.
FDA Clears Enhanced MRI-Guided Laser Ablation System
June 5th 2025An alternative to an open neurosurgical approach, the Visualase V2 MRI-Guided Laser Ablation System reportedly utilizes laser interstitial thermal therapy (LITT) for targeted soft tissue ablation in patients with brain tumors and focal epilepsy.
Can Abbreviated MRI Have an Impact in Differentiating Intraductal Papilloma and Ductal Secretion?
June 3rd 2025For patients with inconclusive ultrasound results, abbreviated breast MRI offers comparable detection of intraductal papilloma as a full breast MRI protocol at significantly reduced times for scan acquisition and interpretation, according to a new study.
Can AI Assessment of PET Imaging Predict Treatment Outcomes for Patients with Lymphoma?
June 2nd 2025The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.
