Artificial Intelligence and Optimization Methods in Biomedical Engineering

Dear Colleagues,

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

Dr. Mohammad Shokouhifar
Dr. Jose Luis Calvo-Rolle
Prof. Dr. 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 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. Bioengineering 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 2700 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.