Resilient AI for Healthcare 5.0: Privacy, Ethics, and Trust (en Inglés) - Bipin Kumar Rai

Resilient AI for Healthcare 5.0: Privacy, Ethics, and Trust covers the evolution from Industry 4.0 to human-AI centric Healthcare 5.0 ecosystems with IoT and edge analytics, core resilience principles like reliability/robustness/recoverability, privacy threats and advanced technologies including federated learning, differential privacy, homomorphic encryption, and blockchain for secure sharing/smart contracts, ethical frameworks with bias mitigation via AIF360/Fairlearn, dynamic informed consent models, explainable AI techniques such as LIME/SHAP/counterfactuals, human-AI collaboration interfaces reducing clinician overload, regulatory compliance for EU AI Act/FDA/HIPAA with checklists, cybersecurity through zero-trust architectures and adversarial defenses, model drift countermeasures with continuous monitoring, and case studies in diagnostics/telemedicine/wearables, plus future quantum-safe governance.