Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Role of Artificial Intelligence in Zero-Trust Learning
2
Zitationen
2
Autoren
2025
Jahr
Abstract
“The Role of Artificial Intelligence (AI) in Zero Trust Learning (ZTL)” explores the transformative synergy between AI and ZTL within the realm of healthcare security. Unveiling the core tenets of ZTL, this chapter demonstrates how intelligent devices, infused with AI algorithms, redefine the paradigm of healthcare security. It showcases real-world case studies highlighting the profound impact of AI-driven strategies on security, trust, and data protection. With adaptive security, continuous improvement, and patient-centric care at its core, this integration promises a future where healthcare security transcends theory to become an unwavering fortress, safeguarding patient data and delivering exceptional care.
Ähnliche Arbeiten
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
2018 · 6.352 Zit.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
2014 · 6.233 Zit.
Brain tumor segmentation with Deep Neural Networks
2016 · 3.176 Zit.
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 · 2.608 Zit.
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
2017 · 2.492 Zit.