Artificial Intelligence in Medical Diagnostics: Second Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 73

Special Issue Editors

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Guest Editor
Electronics and Information Technology, Warsaw University of Technology, 00-661 Warsaw, Poland
Interests: artificial intelligence; expert systems; data bases; methods of knowledge representation; software engineering; medical informatics; machine learning; neural networks; bioinformatics; metabolomics; radiomics; nutrigenomics; logic; biocomputers
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Guest Editor
Neurology and Epileptology Department, The Children’s Memorial Health Institute, 04-730 Warsaw, Poland
Interests: epilepsy; neuroinfections; TORCH infections; neuroimaging; neonatal neurology

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Guest Editor
Public Health Department, Children’s Memorial Health Institute, 04-730 Warsaw, Poland
Interests: research and clinical work mainly devoted to cholestatic liver disease; non-alcoholic fatty liver disease; rare metabolic liver diseases (e.g., Wilson disease, newly described PGM-1); nutrition in hepatology and gastroenterology (e.g., LCPUFA deficiency); obesity prevention and therapy; feeding disorders; protracted diarrhea of infancy and early childhood
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Special Issue entitled “Artificial Intelligence in Medical Diagnostics: Second Edition”.

Over the past few decades, artificial intelligence (AI) has revolutionized almost every aspect of our modern world. The domain of medicine has been particularly affected by these innovations. This Special Issue is devoted to the application of AI methods in various research fields of medical diagnostics. For this purpose, different branches of artificial intelligence are used. In our Special Issue, we focus on two of them: expert systems and radiomics, which can be applied in different areas of medicine. Expert systems are traditionally seen as one of the first branches of AI. These systems are specifically designed to emulate the decision-making ability of a human expert in a particular field of medicine. They are based on inference engines and symbolic knowledge. However, one of the most common techniques used in the medical diagnosis of patients is imaging, which is simple in principle but extremely powerful. It allows doctors to see abnormalities in patients’ bodies in a non-invasive manner and helps them to choose suitable treatments. Medical imaging provides a lot of data to doctors; however, years of practice are often required to detect abnormalities, as some changes might be very hard to detect. Radiomics refers to the extraction and analysis of large amounts of advanced quantitative imaging features with a high throughput. This field has been greatly developed in recent years through machine learning architectures, such as different types of neural networks. The further development of aforementioned research fields is important in order to automate and accelerate the process of medical diagnoses, which can be crucial for the efficient and proper treatment of the ill.

Prof. Dr. Jan Mulawka
Dr. Dorota Dunin-Wąsowicz
Prof. Dr. Piotr Socha
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Applied Sciences 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 2400 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.


  • artificial intelligence
  • medical diagnostics
  • expert systems
  • radiomics
  • knowledge acquisition
  • machine learning
  • neural networks

Published Papers

This special issue is now open for submission.
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