Artificial Intelligence in Biomedical Diagnostics and Analysis 2024
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 192
Special Issue Editors
Interests: machine learning; artificial intelligence; deep learning; neural networks; data science; information and communication management
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; signal processing; data hiding; feature engineering; visual secret sharing
Special Issues, Collections and Topics in MDPI journals
Interests: feature engineering; machine learning; biomedical image and signal processing; pattern recognition; computer forensics; mobile forensics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has allowed us to propose algorithms/methods that make many tasks easier, and smart assistants have been proposed using artificial intelligence. These smart assistants, now being used in daily life, are of great importance in shortening processes. As a result, the quality of services has increased, especially with smart systems used in the healthcare field.
In this Special Issue, we plan to publish articles on next-generation machine learning methods. In particular, machine learning models are expected to be proposed using signals such as electroencephalograms (EEG), electromyograms (EMG), electrocardiograms (ECG), heart rate (HR) signals, computed tomography (CT), magnetic resonance (MR), X-rays and other medical images or videos. Additionally, explainable artificial intelligence (XAI) explains how machine learning methods perform classification. We hope to publish smart health applications that incorporate XAI-based next-generation methods.
Artificial intelligence applications in healthcare are an important research area, and these models/architectures/networks have also been used in precision medicine applications. With the Internet of Medical Things (IoMT), precision medical data can be accessed instantly, and information can be obtained from these data via machine learning methods.
Proteins and genomes are crucial to bioinformatics. Using genomic data, disorders and their associations can be identified. Therefore, we are interested in AI-based biomedical informatics methods, since biomedical informatics is crucial to understand the causes of disorders.
We have proposed a new Special Issue to contribute to the study area of healthcare with artificial intelligence and publish high-quality research articles. We look forward to receiving your submissions on feature engineering, deep learning and XAI-based models, as well as their uncertainty and implementation.
Dr. Prabal Datta Barua
Dr. Turker Tuncer
Dr. Sengul Dogan
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. Diagnostics 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
- medical signal and image processing
- Internet of Medical Things (IoMT)
- bioinformatics
- explainable artificial intelligence
- machine learning
- uncertainty
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