Company profile

MRIMath

Medical Imaging & Radiology

Company profile

About MRIMath

MRIMath is a Birmingham, Alabama-based medical imaging AI company that delivers FDA 510(k)-cleared solutions for brain tumor analysis and treatment planning. The company's flagship platform combines AI-powered segmentation with secure cloud-based collaboration tools, enabling healthcare professionals to analyze glioblastoma (GBM) and other brain tumors with unprecedented speed and accuracy. MRIMath's core technology uses advanced AI models to generate neuro-radiologist-level tumor segmentations in seconds—up to 30× faster than manual contouring methods—while maintaining accuracy rates of 92-95% for GBM on FLAIR and T1c MRI sequences. The platform includes smart manual segmentation tools with inter-user variability below 5%, AI-driven segmentation for GBM, metastatic brain tumors, and organs-at-risk, plus volumetric measurement and tracking capabilities. Built with government-grade cybersecurity and HIPAA compliance, MRIMath's cyber device enables real-time collaboration across institutions through its TeamSpace feature, allowing clinicians to work securely from anywhere. The company serves radiation oncologists, neuro-oncologists, radiologists, and researchers at major academic medical centers and health systems. MRIMath's mission is to raise the bar of physician and patient expectations by using reliable AI and machine learning to help doctors make better decisions that improve patient lives, with a vision to become the world's most physician-centric and patient-appreciated medical imaging company.

Company description MRIMath official website

Primary marketMedical Imaging & Radiology
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Brain cancer
  • Glioblastoma (GBM)
  • Low-grade glioma
  • Metastatic brain tumors

Who it serves

  • Academic Medical Centers
  • Health Systems
  • Neuro-Oncology Clinics
  • Radiation Oncology Departments
  • Research Institutions

Deployment & integration

Deployment information is currently being developed.

Geographic context

MarketsMiddle East (Arab Health Exhibition participation) · United States
Company sourceOfficial website

Company milestones

Platform expansion

Achieved ISO 13485 certification (2026); Published AI LGG growth assessment research in Neuro-Oncology Advances (2026); Participated in 2025 Arab Health Exhibition; FDA 510(k) clearance for GBM cyber device and AI solution

Partnerships

Recorded partners

  • Baylor College of Medicine
  • University of Alabama
  • University of Miami Miller School of Medicine
  • University of Texas Southwestern

02 · Flagship portfolio

Products, workflows, and platform capabilities

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No source-backed Company products are currently listed.

03 · Research intelligence

Research Intelligence evidence

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04 · Company-reported outcomes

Outcomes and case studies

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30× faster than manual contouring

AI segmentation and review completed in 2-3 minutes vs traditional methods

95% accuracy for GBM T1c segmentation

Neuro-radiologist-level precision

92% accuracy for GBM FLAIR segmentation

Automated tumor boundary detection

Below 5% inter-user variability

Smart manual segmentation consistency

96%+ registration accuracy

Multi-modal image alignment (CT-CT, MR-CT, MR-MR)

05 · Leadership

Leadership team

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No active leadership profiles are currently listed.

06 · Company updates

Updates from MRIMath

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No Company updates are currently listed.

07 · HAIC coverage

Coverage and analysis

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08 · Official presence

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09 · Market pathway

Additional Companies in this Market

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Market context

Medical Imaging & Radiology

Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.

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ResearchEvidence analysis

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CompanyTechnical context

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MethodSource & review record

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