AI-Enabling Solutions in Healthcare

Dear Colleagues,

Healthcare diagnostics is going through a digital transformation driven by the use of digitally enabled diagnosis tools and wearables that use AI and its subsets to provide the most accurate results. The emergence of the Internet of Things (IoT) has enabled many changes, as it can connect devices and neural networks for better monitoring and management. However, clinicians still play a significant role in understanding complex medical data for the diagnosis of diseases. Therefore, significant research is necessary to explore how AI technologies can be applied in biosignal processing and healthcare applications to improve detection and prediction performance and support clinical diagnosis. Issues related to big data in health data processing also require exploration in healthcare research.

This Special Issue will provide a forum for high-quality contributions in the modeling, design, and application of AI to all aspects of health data research and healthcare applications. Reviews and surveys on the topic are also welcomed.

The scope and topic of this Special Issue include but are not limited to:

• Application of deep learning techniques;
• AI methods in health and medicine;
• Machine learning techniques in health data analysis.

Dr. Ilaria Bortone
Prof. Dr. Tommaso Di Noia
Prof. Dr. Azzurra Ragone
Prof. Dr. Rodolfo Sardone
Guest Editors

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