Medical ML Diagnosis Research Series
Author: Oleh Ivchenko, PhD Candidate
Focus: ML for Medical Imaging Diagnosis in Ukrainian Healthcare
Phases:
- Phase 1: Foundation & Methodology
- Phase 2: Global Best Practices
- Phase 3: Technical Architectures (CNNs, ViTs, XAI)
- Phase 4: Clinical Workflow Integration
- Phase 5: Ukrainian Adaptation
- Phase 6: Framework Publication
Articles:
- Image Classification and ML in Disease Recognition: A Research Review (Feb 8, 2026)
- ML for Medical Diagnosis: Research Goals and Framework for Ukrainian Healthcare (Feb 8, 2026)
- State of Medical AI Adoption: 1,200 Devices Approved, 81% of Hospitals at Zero (Feb 8, 2026)
- Ukrainian Healthcare System: Current Medical Imaging Practices (Feb 8, 2026)
- ML Model Taxonomy for Medical Imaging (Feb 8, 2026)
- Data Requirements and Quality Standards for Medical ML (Feb 8, 2026)
- Data Requirements and Quality Standards for Medical Imaging AI (Feb 8, 2026)
- Regulatory Landscape for Medical AI: FDA, CE Marking, and Ukrainian MHSU (Feb 8, 2026)
- US Experience: FDA-Approved AI Devices – 1,200+ Authorizations, Critical Evidence Gaps (Feb 8, 2026)
- [Medical ML] Regulatory Landscape for Medical AI: FDA, CE Marking, and Ukrainian MHSU (Feb 8, 2026)
- [Medical ML] US Experience: FDA-Approved AI Devices (Feb 8, 2026)
- [Medical ML] EU Experience: CE-Marked Diagnostic AI (Feb 8, 2026)
- [Medical ML] UK NHS AI Lab: Lessons Learned from a £250 Million National AI Programme (Feb 8, 2026)
- [Medical ML] China's Massive Medical AI Deployment (Feb 8, 2026)
- [Medical ML] Failed Implementations: What Went Wrong (Feb 8, 2026)
- [Medical ML] Physician Resistance: Causes and Solutions (Feb 8, 2026)
- [Medical ML] CNN Architectures for Medical Imaging: From ResNet to EfficientNet (Feb 8, 2026)
- [Medical ML] Vision Transformers in Radiology: From Image Patches to Clinical Decisions (Feb 8, 2026)
- [Medical ML] Hybrid Models: Best of Both Worlds (Feb 8, 2026)
- [Medical ML] EU Experience: CE-Marked Diagnostic AI (Feb 9, 2026)
- [Medical ML] UK NHS AI Lab: Lessons Learned from £250M Programme (Feb 9, 2026)
- [Medical ML] China's Massive Medical AI Deployment (Feb 9, 2026)
- [Medical ML] Failed Implementations: What Went Wrong (Feb 9, 2026)
- [Medical ML] Physician Resistance: Causes and Solutions (Feb 9, 2026)
- [Medical ML] Vision Transformers in Radiology: Architecture, Applications, and Clinical Performance (Feb 9, 2026)
- [Medical ML] Hybrid Models: Best of Both Worlds — CNN-Transformer Architectures for Clinical Imaging (Feb 9, 2026)
- [Medical ML] Explainable AI (XAI) for Clinical Trust: Bridging the Black Box Gap (Feb 9, 2026)
- [Medical ML] Transfer Learning and Domain Adaptation: Bridging the Data Gap in Medical Imaging AI (Feb 9, 2026)
- [Medical ML] Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing (Feb 9, 2026)
- [Medical ML] PACS Integration Strategies for AI-Powered Medical Imaging: A Comprehensive Framework (Feb 9, 2026)
- Medical ML: Radiologist-AI Collaboration Protocols - Designing Human-Machine Partnerships for Clinical Excellence (Feb 9, 2026)
- Medical ML: Confidence Thresholds and Escalation Protocols in Clinical AI Deployment (Feb 9, 2026)
- Medical ML: Quality Assurance and Monitoring for Medical AI Systems (Feb 10, 2026)
- Medical ML: Training Programs for Physicians — Building AI Competency in Medical Imaging (Feb 10, 2026)
- Medical ML: Ukrainian Medical Imaging Infrastructure — Current State and AI Readiness Assessment (Feb 10, 2026)
- Medical ML: Language Localization for Ukrainian Medical AI User Interfaces (Feb 10, 2026)
- Medical ML: Legal Framework for AI in Ukrainian Healthcare — Regulations, Liability, and EU Harmonization (Feb 10, 2026)
- Medical ML: Cost-Benefit Analysis of AI Implementation for Ukrainian Hospitals (Feb 10, 2026)
- Medical ML: Comprehensive Framework for ML-Based Medical Imaging Diagnosis — Ukrainian Implementation Guide (Feb 11, 2026)
- Medical ML: ScanLab Integration Specifications — Technical Architecture for Ukrainian Healthcare AI (Feb 11, 2026)
- Medical ML: Clinical Protocol Templates for ML-Assisted Medical Imaging Diagnosis (Feb 11, 2026)
- Medical ML: Training Curriculum for Medical AI — Healthcare Professional Development Framework (Feb 11, 2026)
- Medical ML: Open Questions for Future Research — A Medical AI Research Agenda for Ukrainian Healthcare (Feb 11, 2026)
Total: 43 articles