We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




First of Its Kind AI Technology Analyzes Fast-Growing Brain Tumors on MRI

By MedImaging International staff writers
Posted on 12 Oct 2022
Image: Neosoma HGG is the first AI-based neuro-oncology software to receive (FDA) 510(k) clearance (Photo courtesy of Neosoma)
Image: Neosoma HGG is the first AI-based neuro-oncology software to receive (FDA) 510(k) clearance (Photo courtesy of Neosoma)

High-Grade Gliomas, which includes Glioblastoma, are the most common, and most challenging, malignant primary brain cancers. In clinical practice, the brain MRI is the physician’s best tool to evaluate the details and changes in a brain tumor. However, even for the most experienced physicians this presents considerable challenges, which can have a direct impact on clinical care. Now, an advanced AI-based technology produces precise and accurate brain tumor analysis on brain MRIs, providing physicians with critical insights to help them deliver optimal treatment.

Neosoma HGG (High-Grade Glioma) from Neosoma, Inc. (Groton, MA, USA) is the first technology of its kind to support neuro-oncology clinicians in improving treatment of brain cancers. Neosoma HGG conducts detailed tumor segmentation, volumetric measurements, generates imaging for 3D geometric analysis and longitudinally tracks patients with high-grade glioma brain tumors. These features will help physicians to better plan procedures, assess post-procedural results, guide chemo and immunotherapy treatments and support an improved patient experience. Neosoma HGG is combined with the proprietary Neosoma Clinical Management Software Platform, allowing the multi-disciplinary physician team more effectively centralize clinical data, plan and track patient care, and significantly increase efficiency.

The Neosoma HGG AI-based neuro-oncology software device has received U.S. Food and Drug Administration (FDA) 510(k) clearance. Performance testing results, submitted to the FDA demonstrated that Neosoma HGG’s outputs exceeded that of individual neuro-radiology experts. When compared to a consensus of neuroradiologists, Neosoma HGG achieved an excellent 95.5% accuracy in measuring tumor volumes at multiple timepoints of patient care.

“Clinicians commonly debate the results of brain MRIs and whether the brain tumor is stable, responding to treatment, or progressing. Neosoma HGG will give us the objectivity needed to make our decisions easier and more accurate,” commented Isabelle M. Germano, MD, MBA, FACS, Professor of Neurosurgery and Director of the Comprehensive Brain Tumor Program at The Mount Sinai Medical Center.

“Neosoma HGG will give us a novel tool allowing for comprehensive longitudinal monitoring and understanding of brain tumors, assist in our decision making, and will be a valuable part of our clinical practice. I look forward to using this new and important technology,” stated Roger Stupp, M.D., Chief of Neuro-oncology and Co-director of the Northwestern Medicine Malnati Brain Tumor Institute and Professor of Neurological Surgery, Neurology and Medicine at Northwestern University.

Related Links:
Neosoma, Inc. 

Multi-Use Ultrasound Table
Clinton
Half Apron
Demi
Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices
Mobile X-Ray System
K4W

Channels

General/Advanced Imaging

view channel
Image: Example snapshots of the photon energy density at t = 0.5, 0.7, 0.9, 1.1 nanoseconds (ns) on the y = 2.0 cm plane (Horie, S., Yajima, H., Abe, M. et al., Biomedical Engineering Letters (2026). DOI: 10.1007/s13534-026-00578-9)

AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection

Diffuse optical tomography is a noninvasive imaging technique that uses near-infrared light to detect internal abnormalities such as cerebral hemorrhage and tumors. Its clinical utility for real-time ... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more

Industry News

view channel
Image: MIM KineticID is 510(k)-pending software for dynamic PET imaging and kinetic modeling, enabling time-based radiotracer analysis for clinical and research decisions (Photo courtesy of GE Healthcare)

GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026

Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.