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Category: Medical ML Diagnosis

ML for Medical Imaging Diagnosis

Medical ML: Open Questions for Future Research — A Medical AI Research Agenda for Ukrainian Healthcare

Posted on February 11, 2026February 15, 2026 by

Open Questions for Future Research: A Medical AI Research Agenda for Ukrainian Healthcare By Oleh Ivchenko, PhD Candidate | Odessa National Polytechnic University | Stabilarity Hub | February 11, 2026 Abstract After twelve weeks examining machine learning applications in medical imaging diagnosis, significant knowledge gaps remain that demand systematic investigation. This concluding article synthesizes open…

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Medical ML: Training Curriculum for Medical AI — Healthcare Professional Development Framework

Posted on February 11, 2026February 24, 2026 by

šŸ“š Academic Citation: Ivchenko, O. (2026). Training Curriculum for Medical AI: Healthcare Professional Development Framework. Medical ML Diagnosis Series. Stabilarity Research Hub, ONPU. DOI: Pending Zenodo registration 24% of radiology residents report no AI/ML education in their programs (2026 survey) 82 essential AI competencies identified across healthcare professions 52% of AI medical education publications appeared…

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Medical ML: Clinical Protocol Templates for ML-Assisted Medical Imaging Diagnosis

Posted on February 11, 2026February 20, 2026 by

šŸ„ Clinical Protocol Templates for ML-Assisted Medical Imaging Diagnosis By Oleh Ivchenko, PhD Candidate | Odessa National Polytechnic University | Stabilarity Hub | February 11, 2026 Abstract The successful integration of machine learning (ML) into medical imaging diagnosis requires robust, standardized clinical protocols that ensure patient safety, regulatory compliance, and optimal utilization of AI capabilities….

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Medical ML: ScanLab Integration Specifications — Technical Architecture for Ukrainian Healthcare AI

Posted on February 11, 2026March 1, 2026 by

šŸ“š Academic Citation: Ivchenko, O. (2026). Medical ML: ScanLab Integration Specifications — Technical Architecture for Ukrainian Healthcare AI. Stabilarity Research Series. Odesa National Polytechnic University. DOI: 10.5281/zenodo.18730555 Abstract This technical specification document defines the integration architecture, interface requirements, and implementation standards for deploying artificial intelligence (AI) systems within ScanLab and similar Ukrainian diagnostic imaging facilities….

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Medical ML: Comprehensive Framework for ML-Based Medical Imaging Diagnosis — Ukrainian Implementation Guide

Posted on February 11, 2026March 1, 2026 by

šŸ“š Academic Citation: Ivchenko, O. (2026). Comprehensive Framework for ML-Based Medical Imaging Diagnosis: A Ukrainian Implementation Guide. Medical ML Research Series. Odesa National Polytechnic University.DOI: Pending Zenodo registration Abstract This paper presents the UMAID Framework (Ukrainian Medical AI Deployment) — a comprehensive, evidence-based implementation guide for machine learning-based medical imaging diagnosis systems tailored specifically for…

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Medical ML: Cost-Benefit Analysis of AI Implementation for Ukrainian Hospitals

Posted on February 10, 2026February 20, 2026 by Yoman

šŸ’° Cost-Benefit Analysis of Medical AI Implementation for Ukrainian Hospitals Author: Oleh Ivchenko, PhD Candidate Cost-benefit analysis of AI implementation for Ukrainian hospitals Affiliations: Odessa National Polytechnic University (ONPU) | Stabilarity Hub Series: Machine Learning for Medical Diagnosis in Ukraine — Article 29 of 35 Date: February 2026 Abstract The adoption of artificial intelligence in…

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Medical ML: Legal Framework for AI in Ukrainian Healthcare — Regulations, Liability, and EU Harmonization

Posted on February 10, 2026February 15, 2026 by

Legal Framework for AI in Ukrainian Healthcare: Navigating Regulations, Liability, and EU Harmonization body { font-family: ‘Georgia’, serif; line-height: 1.8; max-width: 900px; margin: 0 auto; padding: 20px; color: #333; } h1, h2, h3, h4 { color: #1a5f7a; font-family: ‘Helvetica Neue’, Arial, sans-serif; } h1 { font-size: 2.2em; border-bottom: 3px solid #1a5f7a; padding-bottom: 15px; } h2…

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Medical ML: Language Localization for Ukrainian Medical AI User Interfaces

Posted on February 10, 2026February 19, 2026 by Admin

šŸ“š Academic Citation: Ivchenko, O.. (2026). Medical ML: Language Localization for Ukrainian Medical AI User Interfaces. Medical ML Diagnosis Series. Odessa National Polytechnic University. DOI: 10.5281/zenodo.18704562 Abstract The successful deployment of machine learning-based diagnostic systems in Ukrainian healthcare facilities requires comprehensive language localization that extends far beyond simple text translation. This article presents a systematic…

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Medical ML: Ukrainian Medical Imaging Infrastructure — Current State and AI Readiness Assessment

Posted on February 10, 2026February 25, 2026 by

šŸ“š Academic Citation: Ivchenko, O. (2026). Ukrainian Medical Imaging Infrastructure: Current State and AI Readiness Assessment. Medical ML Diagnosis Series #25. Odesa National Polytechnic University. DOI: 10.5281/zenodo.14819161 Abstract Ukraine’s medical imaging infrastructure stands at a critical inflection point, shaped by decades of post-Soviet underinvestment, ambitious healthcare reform since 2017, and the devastating impact of the…

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Medical ML: Training Programs for Physicians — Building AI Competency in Medical Imaging

Posted on February 10, 2026February 20, 2026 by

Training Programs for Physicians: Building AI Competency in Medical Imaging Article #23 | Medical ML Research Series Author: Oleh Ivchenko, PhD Candidate Training programs for physicians building AI competency in medical imaging Affiliations: Odesa National Polytechnic University (ONPU) | Stabilarity Hub Research Focus: Machine Learning Applications in Healthcare Decision Systems Publication Date: February 10, 2026…

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