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Advanced Methods and Applications of AI Diagnostic

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

Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 430

Special Issue Editor


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Guest Editor
Department of Industrial Security, Chung-Ang University, Seoul 06974, Republic of Korea
Interests: databases; big data analysis; music retrieval; multimedia systems; machine learning; knowledge management; computational intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

AI techniques-based diagnostics have the potential to provide high reliability in practical diseases and symptoms management. The rapid growth of medical multimedia data not only gives a chance to improve AI diagnostic quality but also to discover advance knowledge of rare diseases and symptoms. Over the past few years, improvements in computing power and diverse machine learning techniques enable us to process hundreds of thousands of multimedia data and extract expert knowledge for a medical diagnosis. For instance, AI-based diagnostic methods for early detection and diagnosis of disease and symptoms such as Alzheimer's, many types of cancer screening, heart disorders, etc. have been reported to represent successful cases. This Special Issue aims to cover advanced methods and applications of various multimedia data processing, analysis, classification, and recognition for effective diagnostics and early detection, thereby discovering new knowledge to enhance diagnostic guidelines. We will pay special attention to approaches to discovering critical diagnostic information through the latest deep learning technologies and various multimedia and diagnostic databases. The main topics include but are not limited to the following:

  • Advanced methods of medical image processing and analysis
  • Early detection and diagnosis methods for diverse symptoms management
  • Multimedia big data processing for diagnosis applications
  • Pattern recognition techniques for clinical diagnosis
  • AI-based symptoms and disease monitoring or management

Dr. Seungmin Rho
Guest Editor

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. 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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