New Machine Learning Technologies for Biomedical Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (25 May 2023) | Viewed by 13078
Special Issue Editors
Interests: image processing; signal processing; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: data analytics, machine learning and AI; SCADA; digital manufacturing; industry 4.0; decision support systems; simulation and applications
Special Issue Information
Dear Colleagues,
We are pleased to invite you to publish the state-of-the-art research findings of new Machine Learning Technologies for Biomedical Applications. The use of machine learning and artificial intelligence (AI) technologies in medicine and healthcare has been on the rise and these techniques play an essential role in the development of wise, affordable, and cost-effective healthcare systems.
The machine learning field is still somewhat new to many medical researchers and is a considerable obstacle for many medical researchers to understand and adapt to this new tool due to its inexplicability and interpretability.
This Special Issue aims to discuss practical means for developing and assessing the viability of machine learning technologies and facilitate the knowledge and adaptation of this emerging field to a more general research community.
Toward this end, we invite submissions and publications of articles that build bridges between machine learning research and its clinical applications.
Dr. Sebelan Danishvar
Dr. Morad Danishvar
Dr. Seyed Naser Razavi
Guest Editors
Technical Committee Member:
Mr. Abd Al Rahman M. Abu Ebayyeh from Brunel University
Manuscript Submission Information
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Keywords
- machine learning
- artificial intelligence
- biomedical applications
- physiological signals
- image analysis
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