🔬 Quality Assurance and Monitoring for Medical AI: Building Trust Through Continuous Vigilance Author: Oleh Ivchenko, PhD Candidate Affiliation: Odessa National Polytechnic University (ONPU) | Stabilarity Hub Series: Medical ML for Diagnosis — Article 22 of 35 Phase: Clinical Workflow Integration Date: February 2026 📋 Abstract The deployment of machine learning algorithms in clinical diagnostics…
Category: Medical ML Diagnosis
ML for Medical Imaging Diagnosis
Medical ML: Confidence Thresholds and Escalation Protocols in Clinical AI Deployment
Medical ML: Confidence Thresholds and Escalation Protocols in Clinical AI Deployment 🎯 Confidence Thresholds and Escalation Protocols in Clinical AI Deployment Author: Oleh Ivchenko, PhD Candidate Affiliation: Odessa National Polytechnic University (ONPU) | Stabilarity Hub Research Series: Machine Learning for Medical Diagnosis — Article 21 of 35 Date: February 9, 2026 Category: Clinical Workflow Integration…
Medical ML: Radiologist-AI Collaboration Protocols – Designing Human-Machine Partnerships for Clinical Excellence
Radiologist-AI Collaboration Protocols: Designing Human-Machine Partnerships for Clinical Excellence Radiologist-AI Collaboration Protocols: Designing Human-Machine Partnerships for Clinical Excellence Oleh Ivchenko, PhD Candidate Affiliation: Odessa National Polytechnic University (ONPU) | Stabilarity Hub Research Focus: Machine Learning for Medical Diagnosis in Ukrainian Healthcare Article: 20 of 35 | Phase 4: Clinical Workflow Integration Date: February 9, 2026…
[Medical ML] PACS Integration Strategies for AI-Powered Medical Imaging: A Comprehensive Framework
# PACS Integration Strategies for AI-Powered Medical Imaging: A Comprehensive Framework for Clinical Deployment **Author:** Oleh Ivchenko, PhD Candidate **Affiliation:** Odessa National Polytechnic University (ONPU) | Stabilarity Hub **Series:** Medical ML for Diagnosis — Article 19 of 35 **Date:** February 9, 2026 **Category:** Clinical Workflow Integration — ## Abstract The integration of artificial intelligence (AI)…
[Medical ML] Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing
# Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing **Author:** Oleh Ivchenko, PhD Candidate **Affiliation:** Odessa National Polytechnic University (ONPU) | Stabilarity Hub **Date:** February 9, 2026 **Series:** Medical ML for Diagnosis — Article 18 of 35 **Category:** Technical Deep Dives — ## Abstract Federated learning (FL) represents a paradigm shift…
[Medical ML] Transfer Learning and Domain Adaptation: Bridging the Data Gap in Medical Imaging AI
# Transfer Learning and Domain Adaptation: Bridging the Data Gap in Medical Imaging AI **Author:** Oleh Ivchenko, PhD Candidate **Affiliation:** Odessa National Polytechnic University (ONPU) | Stabilarity Hub **Date:** February 9, 2026 **Series:** Medical ML for Diagnosis — Article 17 of 35 — ## Abstract The remarkable success of deep learning in medical imaging has…
[Medical ML] Explainable AI (XAI) for Clinical Trust: Bridging the Black Box Gap
# Explainable AI (XAI) for Clinical Trust: Bridging the Black Box Gap in Medical Imaging Diagnostics **Author:** Oleh Ivchenko, PhD Candidate **Affiliation:** Odessa National Polytechnic University (ONPU) | Stabilarity Hub **Series:** Medical ML Research — Article 16 of 35 **Date:** February 9, 2026 — ## Abstract The deployment of deep learning models in clinical radiology…
[Medical ML] Hybrid Models: Best of Both Worlds — CNN-Transformer Architectures for Clinical Imaging
Author: Oleh Ivchenko, PhD Candidate Affiliation: Odessa Polytechnic National University | Stabilarity Hub Date: February 9, 2026 Keywords: Hybrid CNN-Transformer, Medical Image Segmentation, UnetTransCNN, TransUNet, Feature Fusion, Clinical Radiology, Deep Learning Architecture Abstract The convergence of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) represents a paradigm shift in medical image analysis, addressing the fundamental…
[Medical ML] Vision Transformers in Radiology: Architecture, Applications, and Clinical Performance
# Vision Transformers in Radiology: Architecture, Applications, and Clinical Performance **Medical ML Research Series – Article 14** — ## Authors **Oleh Ivchenko** *PhD Student* Odessa Polytechnic National University, Ukraine — ## Abstract Vision Transformers (ViT) represent a paradigm shift in medical image analysis, applying the revolutionary attention mechanism from natural language processing to radiological imaging….
[Medical ML] Physician Resistance: Causes and Solutions
📚 Medical Machine Learning Research Series Physician Resistance to Healthcare AI: Understanding Causes, Overcoming Barriers, and Building Collaborative Human-AI Clinical Practice 👤 Oleh Ivchenko, PhD Candidate 🏛️ Medical AI Research Laboratory, Taras Shevchenko National University of Kyiv 📅 February 2026 Physician Adoption Technology Acceptance Healthcare AI Implementation Change Management Human-AI Collaboration 📋 Abstract Despite compelling…