CorticoMetrics
About CorticoMetrics
CorticoMetrics is a privately-held healthcare AI company that originated in 2012 as a spin-off from technology developed at the Martinos Center for Biomedical Imaging at Massachusetts General Hospital (MGH). The company’s primary mission is to enhance clinical decision-making in neuroradiology by supplementing qualitative assessments with quantitative analysis of magnetic resonance imaging (MRI) scans of the brain. Their foundational technology is FreeSurfer, a comprehensive suite of automated neuroimaging tools for brain morphometry, initially developed at MGH for research, which CorticoMetrics is now translating into clinical applications.
CorticoMetrics’ flagship AI-based software, THINQ, received FDA 510(k) clearance in November 2020 for MRI brain volumetric reporting. THINQ automates the segmentation, labeling, and volumetric measurement of 30 critical brain structures from 3D T1-weighted MRI scans. It generates visual and quantitative reports that compare individual brain volumes against age and gender-matched reference percentile data, thereby assisting radiologists and neurologists in the assessment of various neurological conditions. These conditions include, but are not limited to, epilepsy, dementia, multiple sclerosis, traumatic brain injury, and hydrocephalus. Additionally, CorticoMetrics offers the “Brain Gauge,” a cognitive assessment tool that utilizes touch-based sensory testing to evaluate eight key components of brain health and provide a comprehensive mental fitness score, applicable in clinical, athletic, and home settings.
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| Key Investors | NIH SBIR/STTR grants |
| Partnerships | Massachusetts General Hospital (MGH), Innolitics |
| Technology | FreeSurfer (foundation of software technology), AI-based software, Python (ported from MATLAB) |
| FDA Clearances | 1 cleared products (estimated) |
What Physicians Need to Know
CorticoMetrics' THINQu2122 offers physicians objective and reproducible MRI brain volumetric data, which significantly enhances diagnostic confidence and supports precise clinical decision-making. The automated segmentation and reporting streamline workflow, increasing efficiency and examination throughput for radiologists and neurologists. Physicians can leverage the detailed, comparative reports to accurately assess a wide array of neurological disorders, monitor disease progression over time, and ultimately improve patient outcomes through data-driven insights. The FDA clearance further assures the reliability and clinical utility of their AI-based solution.
THINQu2122 is designed for deployment in a high-performance computing environment within a clinical workflow, suggesting robust integration capabilities with existing hospital IT infrastructure. The brain segmentations are also available in DICOM format as encapsulated JPEG images, facilitating compatibility with various Picture Archiving and Communication Systems (PACS) and other imaging platforms.
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