Artificial Intelligence for Clinical Diagnostic Decision Making

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 January 2025 | Viewed by 60

Special Issue Editors


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Guest Editor
Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH, USA
Interests: machine learning; deep learning; artificial intelligence; health disparity; meta-analysis; clinical decision support system; evidence-based medicine; pharmacoepidemiology; medication adherence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
Interests: neurology; neurosurgery; big data analysis; machine learning; deep learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial Intelligence (AI) is revolutionizing clinical decision making by offering advanced algorithms and machine learning techniques to analyze vast amounts of medical data and assist healthcare professionals in making accurate and timely diagnoses. AI systems can integrate various types of data, including patient medical history, imaging findings, and genomic information, to provide personalized and evidence-based recommendations. By leveraging AI for clinical decision making, healthcare providers can improve diagnostic accuracy, streamline workflows, and enhance patient outcomes. In this Special Issue, we aim to highlight the latest advancements and innovations in this rapidly evolving field. We invite submissions presenting original research and review articles that explore the application of AI models in diagnosing medical conditions, refining clinical decision-making processes, and ultimately improving patient care outcomes. This Special Issue will serve as a platform to showcase groundbreaking research and foster dialogue among researchers, clinicians, and healthcare policymakers.

Dr. Md Mohaimenul Islam
Dr. Ming-Chin Lin
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

  • artificial intelligence
  • machine learning
  • clinical decision support systems
  • health disparity
  • medical imaging
  • disease diagnosis
  • medical errors
  • patient safety

Published Papers

This special issue is now open for submission.
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