[Opt-Net] Call for Papers for a Special Issue "Artificial Intelligence and Optimization Methods in Biomedical Engineering"

[Werner, Frank, apl.Prof.Dr.rer.nat.habil]

Dear colleagues,

the guest editors invite you to submit your latest research in the above 
fields to this special issue in the journal Bioengineering (ISSN 
2306-5354; Impact factor 5.046), please see also

                      
https://www.mdpi.com/journal/bioengineering/special_issues/4K6IO8094N

Artificial intelligence (AI) plays an important role in a variety of 
biomedical engineering applications, range from medical signal/image 
processing, disease prognosis and diagnosis systems, to personalized 
medicine and IoT-based remote healthcare monitoring. Traditionally, 
healthcare monitoring was performed through population health surveys, 
clinical data, and reports. Over the past years, rapid growth in 
accessibility of health-related report/signal/image data and 
advancements in AI and optimization algorithms provide opportunities to 
improve the healthcare systems by automatically identifying emerging 
health threats and developing a more detailed understanding of 
population disease and risk factor distributions. Optimized AI-driven 
healthcare systems can be helpful in providing up-to-date information as 
data are collected, processed, and analyzed in a real-time scheme.

This special issue is a venue for communicating recent advances of AI 
and optimization techniques in healthcare. Authors are invited to submit 
original research and survey papers focusing on AI-driven approaches for 
the development, measurement, evaluation, diagnosis, and monitoring 
solutions related to biomedical engineering.

Topics of interest include but not be limited to:

     Applications of AI in biomedical engineering
     Optimized AI-driven smart healthcare monitoring systems
     AI for measurement, assessment, prognosis and diagnosis systems
     Machine learning and deep learning techniques in biomedicine
     AI-driven univariate and multivariate time-series analysis
     Optimization algorithms in biomedical engineering
     AI-driven biomedical signal and image processing
     Security and privacy techniques for personal data preservation
     Remote healthcare monitoring using wireless body sensor networks
     AI-driven IoT-based patient data analysis and management

Mohammad Shokouhifar
Jose Luis Calvo-Rolle
Frank Werner
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. Bioengineering is an international 
peer-reviewed open access monthly journal published by MDPI. The 
deadline for submissions is
                                               OCTOBER 31, 2023.

Please visit the Instructions for Authors page before submitting a 
manuscript. The Article Processing Charge (APC) for publication in this 
open access journal is 2000 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:

     artificial intelligence
     optimization
     bioengineering
     healthcare monitoring
     prognosis and diagnosis
     wearable biosensors
     machine learning
     deep learning
     biomedical image processing
     time-series analysis
     internet-of-things (IoT)
     wireless body sensor networks