Applications of Machine Learning and Artificial Intelligence for Healthcare

Dear Colleagues,

Substantial advances have been made in artificial intelligence (AI) and machine learning (ML) in recent years, and these advancements have great potential for healthcare applications.

The domain of eHealth is emerging alongside the advancement of information and telecommunication technologies and the need for improved healthcare services. At the same time, healthcare applications also face many challenges, such as the difficulties associated with obtaining various types of health-related information, lack of large-sized training data, or even privacy concerns. More specialized research efforts and developments are still needed to address these issues.

This Special Issue aims to provide original, high-quality, innovative ideas and research solutions (for both theoretical and practical challenges) for data analysis and modelling with the aid of artificial intelligence and machine learning in the domain of healthcare.

The key topics of interest include (but are not limited to):

1. Artificial intelligence in healthcare;
2. Machine learning in healthcare;
3. Statistics;
4. Predictive modeling;
5. Monitoring;
6. Data analytics;
7. Personal health advisor;
8. Early diagnosis.

Dr. Elias Dritsas
Guest Editor

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