Information Technology in Medicine: Advances in Methods Technologies and Applications
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Communication and Informatics".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 6347
Special Issue Editors
Interests: biosensors; artificial intelligence; embedded computing; instrumentation; data analysis
Interests: artificial intelligence; computer-assisted diagnosis; deep learning; embedded computing; morphology
Special Issue Information
Dear Colleagues,
Information technology in medicine can be understood as the application of computer science, communication systems and other related areas to medicine. During the last past 30 years, information technology system has progressed from the processing of data to its current concern with the application of rules that define relationships between information and data.
Different authors have predicted that information technology systems would come to play a major role in clinical decision making. However, although many of the decision support systems that are being developed are technologically impressive, their benefits to the individual practitioner are perceived as not yet suitable or otherwise limited. In this sense, new trends have emerged with the aim of increasing the applicability of these systems to clinical activities, i.e., new easy-to-use systems for health monitoring applications, deep learning models to address chronicle diseases, and Internet of Medical Things (IoMT).
The Internet of Medical Things aims to provide better care services and create more cost-effective healthcare systems. The IoMT has emerged as an evolution of traditional information communications technology systems. The IoMT involves data acquisition (sensors, registers, databases), communications (wireless and wire communications, new protocols), processing data (algorithms, new methods, inferences, security, etc.). and data applicability (user interfaces, computer-aided diagnosis, alarms, evaluation of quality of life, etc.). Papers addressing these topics are invited for submission to this Special Issue, especially those combining a high academic standard coupled with a practical focus on providing optimal solutions.
We will accept manuscripts from different disciplines related to the information technology systems applied in medicine.
Here are some examples of topics that could be addressed in this Special Issue:
- Internet of Medical Things (IoMT)
- Development of embedded (bio)sensors for clinical
- Monitoring and assessment of chronicle diseases using information technology
- Design and application of wireless devices for monitoring health in
- Design of information technology systems based on cloud
- Deep learning in aided
- Medical application of 3D
- Virtual trainers for medical.
Prof. Dr. Gustavo A. Alonso-Silverio
Dr. Antonio Alarcon Paredes
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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
- IoMT
- deep learning healthcare
- machine learning
- aided diagnosis
- virtual/physical evaluation systems
- e-learning in medicine
