ML Model Taxonomy for Medical Imaging

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752900  48stabilfr·wdophcgmx
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Article #4 in "Machine Learning for Medical Diagnosis" Research Series By Oleh Ivchenko, Researcher, ONPU | Stabilarity Hub | February 8, 2026 Questions Addressed: How do CNN, ViT, and hybrid models compare for medical imaging? Which architecture is best for specific modalities?

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752900 48stabilfr·wdophcgmx
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Ukrainian Healthcare System: Current Medical Imaging Practices

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Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752902  

Ukraine's healthcare system represents a unique case study in digital transformation under extraordinary circumstances. The two-level electronic healthcare system (EHS), with 36 million registered patients and 1.6 billion electronic medical records, provides a robust foundation for AI integration—despite wartime challenges that reduced viable Medical Information System (MIS) providers from 40 t...

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752902
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State of Medical AI Adoption: 1,200 Devices Approved, 81% of Hospitals at Zero

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DOI: 10.5281/zenodo.18752906  72stabilfr·wdophcgmx
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Global medical AI has exploded with 1,200+ FDA-approved devices, yet 81% of US hospitals have no AI adoption. Article #2 maps the adoption paradox, regional variation, success rates by use case, and the critical barriers—with lessons for Ukrainian healthcare.

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DOI: 10.5281/zenodo.18752906 72stabilfr·wdophcgmx
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6-phase research framework for ML-augmented medical diagnosis

ML for Medical Diagnosis: Research Goals and Framework for Ukrainian Healthcare

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752908  49stabilfr·wdophcgmx
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Launching a 12-week research program to build a practical framework for ML-augmented medical image diagnosis in Ukrainian healthcare. Article #1 establishes methodology, introduces Stabilarity Hub ecosystem, and outlines the path from research to ScanLab implementation.

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752908 49stabilfr·wdophcgmx
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Diagram showing how ML integrates into medical image analysis workflow from acquisition to diagnosis

Image Classification and ML in Disease Recognition: A Research Review

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752910  62stabilfr·wdophcgmx
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A comprehensive review of machine learning in medical image analysis, examining which ML techniques apply at each diagnostic stage, evidence-based best practices for doctor-AI collaboration, and unique conclusions on reducing diagnostic errors.

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752910 62stabilfr·wdophcgmx
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🚀 StabilarityHub Leads International MedAI Hackathon 2025: Transforming Healthcare with AI

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DOI: 10.5281/zenodo.18752914  19stabilfr·wdophcgmx
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Celebrating the International MedAI Hackathon 2025 — where 50+ innovators from Ukraine, Germany and beyond collaborated to build transformative AI solutions in radiology, mental health, and healthcare operations. Led by StabilarityHub with ONPU, GROMUS, Innova Clinics, and ScanLab. Discover the winning projects and the future of healthcare technology.

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DOI: 10.5281/zenodo.18752914 19stabilfr·wdophcgmx
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2025 AI Research Impact: A Year of Transformation

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DOI: 10.5281/zenodo.18752916  34stabilfr·wdophcgmx
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2025 marked a fundamental shift in artificial intelligence research—transitioning from "powerful tool" to "fundamental infrastructure." This comprehensive review examines the year's transformative achievements across model efficiency, reasoning capabilities, multimodal intelligence, and real-world deployment. We analyze key breakthroughs including the evolution of the Gemini model series, the e...

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DOI: 10.5281/zenodo.18752916 34stabilfr·wdophcgmx
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Pixel 10 & AI Integration: The Agentic Phone Era Begins

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DOI: 10.5281/zenodo.18752920  64stabilfr·wdophcgmx
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Pixel 10 represents a watershed moment: the first phone designed from the ground up to be an agentic device. It's not just running AI—it's an AI that runs a phone.

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DOI: 10.5281/zenodo.18752920 64stabilfr·wdophcgmx
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Score = Ref Trust (76 × 60%) + Required (3/5 × 30%) + Optional (0/4 × 10%)
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