Met Vinaver Medical at Web Summit 2024 and walked away thinking: this is one of those rare HealthTech teams that could quietly change oncology workflows. Their promise is bold yet specific—turn spectral CT data into actionable, vendor-agnostic insight for diagnosis and particle therapy planning. In this post, I’ll unpack what they do, why it matters, and how YOUR R&D can collaborate to scale their impact.

🚀 The Problem: Great Imaging Data, Untapped Clinical Impact

Spectral CT—whether dual-energy or photon-counting—captures rich material information about tissues. But in real clinical life, much of that potential remains locked inside DICOM stacks and manufacturer silos. Radiologists and medical physicists still spend valuable time inferring tissue composition and density proxies that are crucial for particle therapy planning and certain diagnostic pathways.

• The result: variability, extra manual steps, and missed opportunities to use quantified, per-voxel material maps in planning and QA.
  
• For advanced radiotherapy—especially hadron/particle therapy—small errors in tissue characterization can lead to planning uncertainty and suboptimal dose delivery.
  

🧩 The Solution: AI-Driven Tissue Characterization from Spectral CT

Vinaver Medical builds vendor-agnostic software that analyzes spectral CT images to quantify materials with high accuracy, enabling clearer tissue characterization and downstream decisions. The platform is positioned as an integration layer that plugs into existing workflows and treatment-planning environments—turning “from image to action” into a predictable, repeatable process.

Key capabilities (based on public materials):

• Material quantification & maps from spectral data for improved diagnostic confidence and therapy planning.
  
• Vendor-agnostic integration with dual-energy and photon-counting CT, minimizing lock-in and smoothing adoption.
  
• Workflow orientation toward radiotherapy and particle therapy planning, reducing time between diagnosis and plan optimization.
  
  
  

You can explore their positioning and demo from the official site: vinavermedical.com.

🌟 What Makes Vinaver Medical Stand Out

1) Precision for Particle Therapy
Vinaver Medical focuses on the physics that matter to hadron therapy—accurate density and composition estimates along the beam path. That’s central to dose accuracy and collateral tissue protection.

2) From Imaging to Planning
Their messaging consistently emphasizes integration with treatment-planning systems, not just image enhancement. That “image-to-action” angle is where many imaging AI tools falter.

3) Momentum & Ecosystem Fit
Recent updates highlight activity around oncology and particle therapy literacy (e.g., educational content on hadron therapy), as well as accelerator/community recognition.

4) Vendor-Agnostic Stance
Compatibility with dual-energy and photon-counting scanners is a strong adoption lever for hospitals that run mixed fleets.

👥 The Team (and Why It Matters)

A strong, science-driven core with domain advisors is key in regulated medtech.

• Stevan Vrbaški — Founder & CEO (Physicist, PhD; 5+ years in medical imaging research).
  
• Goran Stanić — CTO (Physicist, PhD; imaging research; previously at DKFZ/GSI).
  
• Olivera Vujinović — ML/DL Lead (Physicist, PhD; experimental particle physics & AI).
  
• Jovan Lovrenski — Advisor (MD, PhD; Professor of Radiology, Univ. of Novi Sad; among top-cited scientists per Stanford).
  
• Luka Vrbaški — CIO (Software Engineer; KPN NL background).
  

Their LinkedIn company page offers additional context and updates: Vinaver Medical on LinkedIn.

🧪 Where the Value Lands Clinically

For Radiology:

• Material maps (iodine, calcium, etc.) can support sharper differentiation and quantification in cardiac/abdominal imaging.
  
• Decision support that’s scanner-agnostic helps standardize practices across sites.
  

For Medical Physics & RT Planning:

• Better range and stopping-power surrogates improve hadron therapy planning fidelity.
  
• Potential to shorten the loop from imaging to plan optimization by integrating directly with planning workflows.
  

🤝 Synergies: YOUR R&D × Vinaver Medical

YOUR R&D specializes in full-cycle software & AI development, DevOps/Cloud for regulated environments, and WordPress/marketing ops for HealthTech go-to-market—with a core focus on MedTech and Healthcare.

Collaboration opportunities we see immediately:

• Productization & Scaling
  
  • Harden the vendor-agnostic connectors (DICOM, PACS/VNA, RT systems) and build API layers for partner integrations.
    
  • Performance engineering on GPU inference and multi-site deployment patterns (on-prem + hybrid cloud).
    
• Regulatory-Ready SDLC
  
  • Implement IEC 62304-aligned processes, traceability, automated testing, and documentation pipelines—accelerating clinical pilots and CE-mark/FDA readiness.
    
• Clinical Trial & Pilot Tooling
  
  • Create study dashboards (de-identified datasets, audit trails, KPIs) for multi-center pilots in oncology and cardiology.
    
• DataOps for Spectral CT
  
  • Data versioning, curation, and lineage for spectral datasets to improve model update cycles and support post-market surveillance.
    
• Go-to-Market Enablement
  
  • Build a modern, evidence-led content engine (papers, case studies, demos) plus a compliant, multilingual website with strong technical SEO to capture radiology & RT planners.
    

YOUR R&D brings 20+ years of R&D leadership, Healthcare delivery experience, and AI engineering with the OpenAI stack—exactly the blend needed to productize imaging AI at enterprise scale.

🔗 Useful Links

• Vinaver Medical website: vinavermedical.com (overview, demo, and compatibility notes).
  
• YOUR R&D homepage: yourrnd.com (AI & software development for HealthTech).
  
• YOUR R&D blog: yourrnd.com/blog (insights and case studies).
  

Vinaver Medical is tackling the hardest—and most valuable—part of imaging AI: turning rich spectral CT data into quantified, interoperable, planning-grade signals. After meeting them at Web Summit 2024, I’m convinced their “image-to-action” mindset is what the oncology ecosystem needs next. If you’re in radiology, medical physics, or hospital IT and want to see how this could fit your workflow, let’s talk.

#HealthTech #MedTech #Radiotherapy #SpectralCT #AIinHealthcare #SoftwareDevelopment #Innovation