top of page
Amyloid-related imagign abnormalities.png

Epilepsy

Supporting differential diagnosis of epilepsy through abnormality patterns

icobrain ep

icobrain ep is used as part of the assessment of mesial temporal lobe epilepsy, reporting lateralized hippocampal volumes and their percentiles, as well as the hippocampal asymmetry index. If an optional FLAIR scan is provided, the icobrain ep report also evaluates FLAIR hyperintensities adjacent to the cortex, which may be indicative of cortical dysplasia.

Value proposition icobrain ep

Image by Lino C.

Precision and personalized medicine are indeed becoming the standard of care quickly in neurology. As brain MRI scans are a crucial part of the diagnosis and monitoring in neurology, the quantitative analysis of the icometrix’ AI-software together with the radiological reading are needed for a data-driven clinical decision-making in neurology.

Precision and personalized medicine are indeed becoming the standard of care quickly in neurology. As brain MRI scans are a crucial part of the diagnosis and monitoring in neurology, the quantitative analysis of the icometrix’ AI-software together with the radiological reading are needed for a data-driven clinical decision-making in neurology.

Joseph Fritz, president American Society Neuroimaging

Key scientific publications

A deep learning model for brain segmentation across pediatric and adult populations

Simarro et al. (2024)

Cost-Effectiveness Analysis of AI-Assisted Radiological Assessment in Patients With Relapsing Remitting Multiple Sclerosis in the UK

Esposito et al. (2022)

Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients—A Microsimulation Study

Sima et al. (2021)

Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: validation of icobrain dm

Struyfs et al. (2020)

Evaluation of methods for volumetric analysis of pediatric brain data: The childmetrix pipeline versus adult-based approaches

Phan et al. (2018)

Correlation of clinical findings and brain volume data in multiple sclerosis

Fragoso et al. (2017)

Whole brain and grey matter volume of Japanese patients with multiple sclerosis

Akaishi et al. (2017)

Intercontinental validation of brain volume measurements using MSmetrix

Finkelsztejn et al. (2017)

Reliable measurements of brain atrophy in individual patientswith multiple sclerosis

Smeets et al. (2016)

FOOTER IMAGE.webp

Make every clinical decision with confidence

Disease-specific solutions that impact outcomes

bottom of page