Manuscript Topics

In recent decades, there has been remarkable progress in the field of biomedical data analysis and processing, especially in the context of healthcare education. This progress is driven by the need to extract valuable insights directly from raw physiological data using cognitive systems, all within the evolving landscape of modern healthcare trends. These trends include remote education through telemedicine and immersive healthcare experiences within the metaverse.

The automated analysis of biomedical data has proven to be a promising strategy for supporting healthcare professionals and educators in diagnosing complex conditions, facilitating quicker disease identification, and enabling more timely and tailored treatments. As the healthcare landscape continues to evolve, various cognitive systems are being leveraged in biomedical education, encompassing areas such as automation and control, signal/image processing and analysis, virtual and augmented reality, computer graphics, biomedical sensors, and the Internet of Medical Things (IoMT).

However, the field faces ongoing challenges in enhancing the accuracy, efficiency, and usability of these cognitive systems, particularly in the context of healthcare education. There are also persistent issues related to designing, developing, and deploying new applications that align with remote education paradigms, telemedicine practices, and the immersive healthcare experiences emerging within the metaverse.

Therefore, the primary objective of this special issue is to gather recent advances in the methods and applications of cognitive systems that support healthcare education in the modern era. We invite researchers to contribute original work related to this special issue, focusing on the utilization of computational and mathematical techniques. Moreover, we encourage the exploration of innovative ideas and directions for future development in healthcare education.

Potential topics include, but are not limited to:
• Human-Centered Design for Healthcare Education
• Personalized Learning in Telemedicine
• IoMT and Cognitive Systems Integration
• Machine Learning for Disease Identification
• Enhancing Remote Healthcare Education Through Metaverse Simulations
• Robotics-Assisted Medical Training
• Ethical Considerations in Telemedicine Education
• Integrating Health 4.0 Concepts in Medical Curricula
• Multimodal Cognitive Systems for Medical Training
• One Health Education in a Digital Age

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