[Ancient IT] The 2007-2012 Golden Age — Myths, Reality, and the Road to 2026

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DOI: 10.5281/zenodo.18752872  15stabilfr·wdophcgmx
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First article in the "Ancient IT History" series exploring the cyclical nature of technology industry growth and decline.

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DOI: 10.5281/zenodo.18752872 15stabilfr·wdophcgmx
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[Medical ML] Physician Resistance: Causes and Solutions

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752874  34stabilfr·wdophcgmx
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The integration of artificial intelligence into clinical practice faces a critical bottleneck: physician resistance. Despite over $66 billion invested globally in healthcare AI, adoption remains stubbornly low. This article examines the multifaceted causes of physician resistance—spanning professional identity threats, liability concerns, and workflow disruption—and presents evidence-based stra...

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752874 34stabilfr·wdophcgmx
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[Medical ML] Failed Implementations: What Went Wrong

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752878  15stabilfr·wdophcgmx
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Despite over $66.8 billion invested globally in healthcare AI (2021 alone), the field has produced spectacular failures alongside its successes. Understanding what went wrong—and why—is essential for any hospital considering AI adoption.

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752878 15stabilfr·wdophcgmx
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[Medical ML] China’s Massive Medical AI Deployment

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18645077  56stabilfr·wdophcgmx
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China has emerged as the world's fastest-growing healthcare AI market, demonstrating that large-scale medical AI deployment is achievable through coordinated policy, infrastructure investment, and strategic regulatory frameworks. This article provides comprehensive analysis of China's medical AI ecosystem, examining market growth from $900 million in 2020 to a projected $18.9 billion by 2030, t...

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18645077 56stabilfr·wdophcgmx
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[Medical ML] UK NHS AI Lab: Lessons Learned from a £250 Million National AI Programme

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18672171  40stabilfr·wdophcgmx
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The UK's NHS AI Lab, operating from 2019 to 2025 with £250 million in initial funding, represents the world's most ambitious national attempt to systematically deploy artificial intelligence in healthcare. This analysis examines the programme's comprehensive evaluation, documenting both its remarkable achievements—including £44 million in demonstrated cost savings and the development of crucial...

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18672171 40stabilfr·wdophcgmx
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[Medical ML] EU Experience: CE-Marked Diagnostic AI

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752882  15stabilfr·wdophcgmx
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Ukraine's regulatory trajectory aligns with the EU Medical Device Regulation (MDR) through ongoing European integration reforms. Understanding the European CE marking process—with its emphasis on clinical evidence and post-market surveillance—directly informs how Ukrainian hospitals should evaluate AI diagnostic tools.

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752882 15stabilfr·wdophcgmx
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[Medical ML] US Experience: FDA-Approved AI Devices

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752886  34stabilfr·wdophcgmx
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As Ukraine develops its regulatory framework for medical AI (aligned with EU MDR through recent reforms), understanding the world's largest medical AI market provides invaluable lessons. The US FDA has authorized over 1,200 AI/ML-enabled medical devices—more than any other regulatory body—making it the de facto testing ground for medical AI deployment.

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752886 34stabilfr·wdophcgmx
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[h]Freshness [REQ]25%✗≥60% of references from 2025–2026. Current: 25%
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[Medical ML] Regulatory Landscape for Medical AI: FDA, CE Marking, and Ukrainian MHSU

Posted on by Yoman
Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752890  21stabilfr·wdophcgmx
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For ScanLab and any medical AI initiative targeting Ukrainian healthcare, regulatory compliance isn't optional—it's existential. Understanding the regulatory landscape determines:

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752890 21stabilfr·wdophcgmx
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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[h]Freshness [REQ]0%✗≥60% of references from 2025–2026. Current: 0%
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[x]Cited by0○Referenced by 0 other hub article(s)
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US Experience: FDA-Approved AI Devices – 1,200+ Authorizations, Critical Evidence Gaps

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752892  34stabilfr·wdophcgmx
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As Ukraine develops its regulatory framework for medical AI (aligned with EU MDR through recent reforms), understanding the world's largest medical AI market provides invaluable lessons. The US FDA has authorized over 1,200 AI/ML-enabled medical devices—more than any other regulatory body—making it the de facto testing ground for medical AI deployment.

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752892 34stabilfr·wdophcgmx
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Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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Regulatory Landscape for Medical AI: FDA, CE Marking, and Ukrainian MHSU

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Medical Research
Medical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18752894  40stabilfr·wdophcgmx
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Navigating the regulatory landscape for medical AI requires understanding three distinct frameworks: the FDA's mature Software as Medical Device (SaMD) pathway with over 1,200 approved AI/ML devices, the EU's dual MDR/AI Act compliance burden, and Ukraine's transitional system awaiting MDR harmonization. This analysis maps pathways for ScanLab and similar Ukrainian medical AI initiatives, ident...

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Medical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18752894 40stabilfr·wdophcgmx
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Score = Ref Trust (32 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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