Advances in Breast Diagnostics

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
Prof. Dr. Jessica Leung
Dr. Mary M. Salvatore
Prof. Dr. Judy Yee
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 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-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.