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Ehealth, Telemedicine and AI in Clinical Medicine
This special issue belongs to the section “Epidemiology & Public Health“.
Special Issue Information
Dear Colleagues,
The importance of ehealth and telemedicine to citizens, patients, health providers, governments, and other stakeholders is rapidly increasing. They may improve access to services, reduce costs, and improve self-management. They may allow previously underserved populations to gain access to services. The health system is evolving, and so must its infrastructure and technology. As the importance of better health systems has increased among practitioners, healthcare needs intelligent systems that can deal with larger databases and provide better medical treatments. The rapid growth of the available digitised medical data has opened new challenges for the scientific research community. Artificial intelligence, big data and healthcare deal heavily with issues of complexity, efficacy, and societal impact. They are increasingly playing an important role in assisting physicians in various areas of medicine.
The Ehealth, Telemedicine and AI in Clinical Medicine Special Issue aims to collect the latest approaches and findings, as well as to discuss the current challenges of AI based ehealth and telemedicine applications. The focus is on the employment of AI in a big data context. We expect this Special Issue to increase the visibility and importance of this area, and contribute, in the short term, in pushing the state of the art.
Dr. Amir Hajjam El Hassani
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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. Journal of Clinical Medicine 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 2600 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
- Big data analytics
- Machine learning, knowledge discovery and datamining
- Pattern recognition in medicine
- AI solutions for ambient assisted living, telemedicine and ehealth
- Algorithms for decision support and therapy improvement
- Clinical decision support systems (CDSSs)
- Knowledge-based reasoning in biomedicine
- Biomedical knowledge acquisition and management
- Emerging architectures and technologies for ehealth and telemedicine
- Medical device technologies
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