Advances in Breast Diagnostics
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 18
Special Issue Editor
Interests: breast imaging; applications of AI to breast cancer; AI/machine learning in diagnosis of breast cancer and prediction of breast cancer risk, prognosis, and treatment response; impact of AI in multimodal prediction models to support personalized treatment strategies and improved outcomes; implementation of machine learning algorithms in breast cancer screening; diagnosis; and treatment; diagnostic radiology
Special Issue Information
Dear Colleagues,
Technological advances such as AI have many potential applications in medicine, with the ability to improve the speed and accuracy of diagnoses and generate prediction models that can help guide treatment and promote precision medicine. Specifically, machine learning allows the amalgamation and analysis of large amounts of data, enabling more accurate diagnoses and the prediction of outcomes, such as recurrence-free survival, pathologic complete response (pCR), and the prediction of prognosis in breast cancer. This can help to promote more individually tailored treatment strategies with the goal of achieving improved outcomes. Incorporating novel imaging and non-imaging biomarkers in machine learning analyses may further enhance the prediction of outcomes. The goal of this Special Issue is to showcase the latest advancements and emerging trends in the application of AI methods for breast cancer detection and outcome prediction.
We are pleased to invite you to submit your work to this Special Issue and look forward to receiving your contributions.
Prof. Dr. Takouhie Catherine Maldjian
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.
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
- deep learning
- breast imaging
- breast cancer
- breast cancer prognosis
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
