Explainable Machine Learning in Clinical Diagnostics
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 November 2025 | Viewed by 83
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Special Issue delves into the use of Interpretable Machine Learning (IML) and Explainable Machine Learning (XML) techniques in clinical medicine. These approaches aim at enhancing the transparency and interpretability of machine learning models, which is essential for their successful implementation in healthcare settings. The articles within this Special Issue cover various aspects, such as methodologies, case studies, knowledge integration, global/local explanations, and future research directions. By improving our understanding of how these models make predictions and decisions, we can foster trust among clinicians and patients while ultimately contributing to better healthcare outcomes.
Dr. Kai-Chih Pai
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. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- interpretable machine learning (IML)
- explainable machine learning
- clinical medicine
- knowledge integration
- global/local explanations
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