The Global Lens: Revolutionizing Healthcare Diagnostics through Vision Transformers and Strategic Education
Year: 2026
Type: conference-abstract
Abstract: As Artificial Intelligence enters a new era of clinical integration, the transition from local feature extraction to global contextual understanding is redefining medical diagnostics.While Convolutional Neural Networks (CNNs) have long been the gold standard, the emergence of Vision Transformers (ViTs) and Self-Attention mechanisms has unlocked a "Global Lens" capable of identifying long-range spatial dependencies that traditional architectures often overlook.In this keynote, Dr. Nesrine Atitallah explores the transformative impact of ViTs across high-stakes healthcare sectors, specifically focusing on breakthroughs in Diabetic Retinopathy and complex medical imaging.By moving beyond pixellevel analysis to sequence-based patch processing, ViTs allow for a holistic interpretation of medical data, mirroring the comprehensive approach of a senior clinician.However, the "Next Era of AI" demands more than technical precision; it requires Responsibility.Dr. Atitallah addresses the critical "Black Box" challenge by demonstrating how ViT attention maps provide built-in explainability for doctors.Furthermore, she argues that real-world impact is only sustainable through Educational Governance.Drawing from her expertise in Quality Assurance (QAA), she presents a framework for integrating AI auditing into medical and engineering curricula.The session concludes with a vision for a future where high-performance architectures and rigorous academic standards work in symmetry to ensure patient safety and technological trust.
Author: Nesrine Atitallah
Institution: Arab Open University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7224828889