Deep Learning Applications in Medical Image Analysis and Diagnosis
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 September 2026 | Viewed by 1122
Editor
2. Medical School, University of Navarra, Pamplona, Spain
3. Institute of Data Science and Artificial Intelligence, University of Navarra, Pamplona, Spain
Interests: evidence review and efficacy evaluation of clinical decision support systems; machine learning and artificial intelligence applications in diagnostics
Special Issue Information
Dear Colleagues,
The promising impact of deep learning applications in medical image analysis and diagnosis could be jeopardized by a lack of proper clinical validation. The rising development of deep learning-based applications in this field contributes to the advances in artificial intelligence that have been claimed to be revolutionizing healthcare. However, these tools need to be clinically validated to be scientifically acceptable and gain the trust of patients and healthcare providers for routine clinical use. It is necessary to reinforce the scientific evidence on deep learning applications in medical image analysis and diagnosis. This Special Issue focuses on clinical validation methods for such applications. Researchers are encouraged to submit original clinical validation studies, thorough narrative or systematic reviews, and practical or instructional guidelines addressing clinical validation methods for deep learning applications in medical image analysis and diagnosis. This Special Issue covers all healthcare fields, including all medical specialties, quality and safety issues, and epidemiological and public health areas.
Dr. Jorge M. Núñez-Córdoba
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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
- deep learning
- machine learning
- artificial intelligence
- medical imaging
- diagnostic imaging
- clinical validation
- accuracy
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