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eHealth Innovative Approaches and Applications: 2nd Edition

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

Innovative ICT technologies, approaches and applications are becoming increasingly pervasive in medicine and healthcare. At the same time, physicians and medical professionals are adopting and exploiting these complex and advanced systems based on the latest technologies for their daily routine. Scientific research constantly proposes new approaches and applications with high potential for use in the eHealth sector. It is, therefore, necessary to disseminate these new results and the achieved enhancements in this area to take full advantage of the latest advances in the field of ICT applied to the medical sector.

This Special Issue will focus on innovative approaches and applications for eHealth. In detail, it will consider recent technologies and methodologies applied to medicine and healthcare for the definition of complex systems and architectures in the eHealth domain, such as the Internet of Things (IoT), artificial intelligence (AI), quantum computing (QC), big data analytics (BDA) and cybersecurity (CS). Contributions can focus on architectures, algorithms and methods; survey papers and reviews are also welcome.

The main topics include, but are not limited to, the following:

  • eHealth;
  • Medical informatics;
  • Knowledge managements in eHealth;
  • Big data analytics for eHealth;
  • eHealth big data architectures;
  • Artificial intelligence in medicine;
  • Machine and deep learning approaches for eHealth;
  • Health information systems;
  • Biomedical Internet of Things (IoT) devices;
  • Security and privacy of medical data;
  • Cybersecurity in healthcare;
  • Diagnosis and therapy support systems;
  • Quantum computing approaches for eHealth;
  • Quantum computing for drug discovery.

Dr. Stefano Silvestri
Dr. Francesco Gargiulo
Dr. Dario Di Stasio
Dr. Raffaele Guarasci
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • eHealth
  • medical informatics
  • big data analytics for eHealth
  • eHealth big data architectures
  • artificial intelligence in medicine
  • machine and deep learning approaches for eHealth
  • health information systems
  • biomedical Internet of Things (IoT) devices
  • security and privacy of medical data
  • cybersecurity in healthcare
  • diagnosis and therapy support systems
  • quantum computing approaches for eHealth
  • quantum computing for drug discovery

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Appl. Sci. - ISSN 2076-3417