Machine Learning & Computer Vision in Medical Imaging
Transforming medical images into actionable clinical insights
Our Vision
Medical imaging is at the core of modern healthcare — yet its full potential often remains untapped.
Our mission is to enhance clinical experience with Machine Learning and Computer Vision, offering faster diagnosis, greater accuracy, and scalable healthcare solutions.
We develop intelligent imaging systems that support clinicians, optimize workflows, and improve patient outcomes, with full compliance on security, privacy, and regulatory requirements.
What We Offer
We design and implement AI-assisted medical imaging solutions that analyze images in real-time or retrospectively, providing consistent and quantified clinical data.
Our solutions integrate seamlessly into existing environments — PACS, RIS, HIS/EHR, and imaging systems — without disrupting established procedures.
Key Capabilities
Intelligent Image Analysis
- Automatic detection of pathological findings (lesions, nodules, tumors)
- Accurate segmentation and measurements
- Disease progression monitoring and longitudinal comparison
Clinical Workflow Support
- Case prioritization and triage
- Reduced reporting time
- Improved reader consistency
- Decision support — not physician replacement
Support for Multiple Imaging Modalities
- Radiography, CT, MRI
- Ultrasound
- Digital Pathology
- Ophthalmology and Cardiology imaging
Clinical Applications
Radiology
- Early detection of critical findings
- Organ and lesion segmentation
- AI-assisted reporting and monitoring
Digital Pathology
- Tumor detection and grading
- Quantitative cell and tissue analysis
- Histological slide quality control
Cardiology
- Automated echocardiography measurements
- Cardiac chamber analysis
- Functional assessment and risk stratification
Ophthalmology & Screening
- Diabetic retinopathy screening
- Glaucoma and macular degeneration assessment
- Mass screening programs
Based on International Standards
Our platform is designed with interoperability and sustainability in mind:
- DICOM / DICOMweb for imaging data
- HL7 & FHIR for clinical connectivity
- Modern Libraries for AI analysis and training
- Deployment on-premise, hybrid, or in the cloud
Security, Compliance & Trust
Clinical reliability is fundamental.
Our solutions are developed with:
- Transparency in model operation and confidence metrics
- Human oversight (human-in-the-loop)
Artificial intelligence acts as a clinical partner, not a substitute.
Measurable Value
For Clinicians
- Faster access to critical information
- Reduced cognitive load
- Increased diagnostic certainty
For Healthcare Providers
- Reduced examination turnaround time
- Increased productivity
- Optimal resource utilization
For Healthcare Systems
- Scalable screening programs
- Reduction of indirect and future costs
- Improvement of population health indicators
Our Approach
- Understanding clinical needs
- Integration into existing systems
- Clinical and technical validation
- Secure deployment and scaling
- Continuous monitoring and improvement
We collaborate closely with clinicians, IT departments, and management.
The Future of Medical Imaging
- Multimodal AI models (images, reports, clinical data)
- Foundation models at inter-hospital level
- Real-time AI at the point of care
- Personalized and predictive imaging
Let’s Collaborate
Whether you are a hospital, diagnostic center, healthcare IT provider, or research organization, we collaborate to fully leverage the value of medical imaging through AI.
Contact us for pilot projects, partnerships, and implementations.
