Special Issue "Artificial Intelligence and Big Data in Healthcare"

A special issue of Data (ISSN 2306-5729).

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 456

Special Issue Editor

Department of Industrial Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, Seoul 04763, Republic of Korea
Interests: data mining; machine learning; big data analytics; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Machine learning models can be used in medicine to scan medical data and reveal insights to support health progress results and patient experiences. Artificial intelligence (AI) is promptly becoming a vital aspect of modern healthcare, thanks to recent developments in computer science and informatics. Medical professionals are using AI algorithms and other AI-powered tools to assist them in clinical settings and continuing research. Clinical decision assistance and image analysis are now the most common uses for AI in medical settings. Clinical decision support tools assist doctors in making decisions about treatments, drugs, mental health, and other patient requirements by giving them quick access to pertinent information or research. AI technologies are being utilized in medical imaging to assess CT scans, X-rays, MRIs, and other pictures for lesions or other discoveries that a human radiologist may overlook. Many healthcare institutions throughout the world have been field-testing novel AI-supported solutions, such as algorithms to help monitor patients and AI-powered tools to screen COVID-19 patients, in response to the issues that the COVID-19 pandemic has posed. The study and results of these experiments are still being compiled, and the overall guidelines for using AI in medicine are still being established. However, the number of ways in which AI may help clinicians, researchers, and the patients they serve is continuously growing.

  • Time series analysis with medical applications;
  • ML systems that assist with evidence-based medicine;
  • Algorithms, models, software, and tools in bioinformatics;
  • Computer-aided prognostic decision making using ML;
  • Medical decision support for treatment and classification using ML;
  • Disease diagnosis and prediction systems using ML;
  • Medical imaging decision analysis and prediction using ML;
  • Intelligent computing platforms for medical decision making using ML;
  • Application of AI in medical decision-making systems;
  • Medical informatics with AI for healthcare;
  • Privacy and security in healthcare data management with AI and cybersecurity;
  • AI and ethical computational intelligence for health data management;
  • Deep learning for medical image processing and decision making;
  • Medical image segmentation and classification with deep learning and computer vision techniques;
  • Advances in distributed machine learning for health data management;
  • New trends in vision analytics with deep learning and computer vision for medical imaging and data analytics.

Dr. Sathishkumar Easwaramoorthy
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. Data 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 1600 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.


  • data mining
  • machine learning
  • artificial intelligence
  • predictive analytics
  • image processing
  • natural language processing
  • deep learning
  • data analytics
  • image segmentation

Published Papers

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