We help process and visualize medical data using artificial intelligence
Industry challenges
  • Insufficient diagnostic accuracy
    Images obtained through CT and MRI scans can be complex and heterogeneous, making their interpretation by doctors more challenging
  • Lengthy time
    Processing and interpretation of medical images (CT, MRI): It can take several days to process and interpret medical images, leading to delays in diagnosis and treatment planning
  • Slow speed
    Lack of qualified personnel slows down the speed of result analysis: The shortage of skilled professionals in the field hampers the timely processing of examination results
  • High workload
    Diagnostic doctors have increased risk of incorrect interpretation and medical errors
  • Performance limitations
    Processing medical images often requires substantial computational power, which can slow down the analysis process and complicate scalability
  • Limited tools
    Visualizing research results for further use: There is a lack of comprehensive visualization tools that enable efficient and effective utilization of research findings
Mosaic Tomography
AI diagnostic and medical data processing platform for doctors and patients
Key features
AI-powered CT image segmentation
The platform uses AI algorithms to segment CT images, accurately identifying different structures and abnormalities. Using the power of neural networks, segmentation is almost instantaneous: it takes about 1 minute to process this series of CT images.
Pathology detection and classification
Mosaic enables the search and classification of pathologies thin medical images, assisting in the identification and categorization of diseases.
Mosaic allows to vizualize research results in three dimensions (3D) and augmented reality (AR), enhancing the understanding and representation of complex medical data.
Visualization of research results in 3D and AR


Automatic reporting of research results
Our platform extracts actionable information from research to provide concise summaries and interpretations of findings.

Manage your data

The platform seamlessly integrates, categorizes and optimizes patients' data and conducted research to expedite and simplify clinical decision-making.

Access to data from any device

The platform provides instantaneous data sharing capability between desktop and mobile workflows, making access possible from any device.

View research results in AR

AR opportunity brings human and AI together to improve patient outcomes through precision medicine and modern organ imaging method.

Mosaic workflow ~ 20 min.

CT scan
Automated segmentation and description of results
Verification and treatment strategy development
Current workflow ~ 4 days
CT scan
Manual segmentation
Manual description of results
Verification and treatment strategy development

Mosaic is designed for


  • Optimizing the workflow of medical staff
  • Accelerating diagnosis
  • Reducing diagnostic expenses
  • Decreasing the number of medical errors
  • Assisting in maintaining diagnostic accuracy


  • Reducing the workload on doctors
  • Shortening the time required for result interpretation
  • Decreasing the likelihood of missing pathologies
  • Visualizing results in 3D and AR
  • Exporting examination files


  • Assisting in error-free diagnosis
  • Monitoring the quality of doctors work
  • Providing alternative opinions
  • Visualizing examination results

Our team

BlueMind is a team of doctors, scientists, and AI developers. We use our own product daily for diagnosis and operations, which has saved hundreds of working hours and helped dozens of patients maintain their health.
  • Roman Fitzjalen
    CEO, Data Science Lead
  • Ilia Labunskii
  • Anna Bagramova
  • Mark Aladin
    Head of Science Department, рracticing surgeon
  • Jahandar Karaev
    Science Department Specialist, рracticing surgeon
  • Gleb Sakhnov
    CTO, Data Engineer
  • Andrey Grazhdankov
    Head of Engineering
  • Georgiy Nanyan
    Data Science/ML Developer
  • Ilgar Karaev
    Agile coach

Future plans


Segmentation of liver lobes

Expanding the capabilities to accurately segment different liver lobes for precise analysis and diagnosis.

Enhanced pathology classification

Improving the classification capabilities to effectively identify and classify various types of pathologies.


Segmentation and classification

Оf head and brain pathologies: developing advanced algorithms to segment and classify pathologies in head and brain, aiding in the diagnosis of conditions such as tumors, strokes, and traumatic brain injuries.


Detection and classification of atypical cells in biopsy samples

Identifying and classifying atypical cells in biopsy materials, assisting in the early detection and diagnosis of cancer and other diseases


Assessment of sepsis probability development and patient mortality in the ICU

Developing algorithms to assess the likelihood of sepsis development and patient mortality in the Intensive Care Unit (ICU), enabling early intervention and proactive conducting of critical conditions.


Future of Medical Diagnosis and Treatment
Cutting-edge AI technology for accurate and efficient diagnosis
Streamlined workflow, saving valuable time for healthcare professionals
Enhanced precision and reduced errors in medical image analysis
Advanced pathology detection and classification algorithms
3D and augmented reality visualization for comprehensive understanding
Join us for shaping the future of healthcare with AI-driven innovation!
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