Healthcare 4.0 represents a groundbreaking frontier where the fusion of Internet of Things (IoT) technology with healthcare holds immense promise. This integration is poised to enhance patient monitoring, accelerate data collection, and enable real-time communication among healthcare providers, ultimately enhancing both the quality of life and the efficiency of healthcare delivery. However, despite its critical importance in shaping the future of healthcare, there's a notable absence of specific symposia addressing this intersection, underscoring the urgent need for discussions that foster examination and promotion of this revolutionary integration. In the realm of Healthcare 4.0, the seamless integration of IoT with healthcare demands a thorough examination of various technical aspects. This involves scrutinizing the intricacies of secure and private data transmission protocols to safeguard sensitive patient information, alongside leveraging modern analytics tools for healthcare data analysis and predictive modeling in medical diagnosis and disease prognosis. Additionally, the development of communication infrastructures with ultra-reliable and low-latency capabilities is imperative to ensure uninterrupted connectivity in critical healthcare scenarios. Employing artificial intelligence (AI), machine learning (ML), deep learning (DL), and federated learning (FL) techniques to tailor interventions and optimize healthcare delivery, particularly for marginalized populations, is essential for addressing health disparities.
Topics include (but not limited to):
- Secure and privacy-preserving data exchange between heterogeneous healthcare devices
- Federated learning algorithms for distributed healthcare data analysis
- Explainable AI techniques for personalized medicine and disease prediction in a Healthcare 4.0.
- Emerging network architectures for ultra-reliable and low-latency healthcare communication
- Data-driven strategies for addressing health disparities through ubiquitous networks.
- Leveraging Blockchain for network monitoring in healthcare 4.0
- Implementing AI-driven intrusion detection systems (IDS) within the provider network to analyze network traffic patterns and anomalies.
- AI-driven compression techniques for redundancy removal in healthcare networks for rapid real-time communication
- Enforcing QoS Through Bandwidth Management to Sustain Biomedical Data Transfer Rates
- Reliable and Enduring Health Data Preservation using Blockchain Technology
- AI/FL/X-AI for Secure and Robust Networks in a Healthcare 4.0 Environment
- Metaverse Medicine: AI-Powered Healthcare Networks
- Utilizing machine learning for automated anomaly detection systems in Healthcare 4.0
Important Dates
- Workshop Paper Submission Deadline: 15 July 2024
- Paper Acceptance Notification: 1 September 2024
- Camera Ready: 1 October 2024
- Accepted Author Registration Deadline: 1 October 2024
Submission Link
Workshop Chairs
- Dr. Sudeep Tanwar, Nirma University, India
- Dr. Rajesh Gupta, Nirma University, India
- Dr. Joel J. P. C. Rodrigues, Amazonas State University, Brazil
