Machine Learning and Artificial Intelligence in Cancer Diagnostic and Monitoring
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 30 July 2026 | Viewed by 11
Special Issue Editor
Interests: prediction models; diagnostic tests; survival analysis; network and IPD meta-analyses; health technology assessment; health insurance
Special Issue Information
Dear Colleagues,
Cancer remains one of the leading causes of morbidity and mortality worldwide. The need for early detection, accurate diagnosis, and effective monitoring has led to a rapid increase in the application of Artificial Intelligence (AI) and Machine Learning (ML) in oncology.
This Special Issue will showcase innovative, interdisciplinary research on the application of AI/ML techniques in cancer diagnosis and monitoring. We particularly encourage submissions that address model interpretability, model implementation, fairness across diverse populations, and uncertainty estimation to improve clinical trust and the adoption of AI tools.
By bringing together contributions from medical imaging, bioinformatics, clinical data analysis, and AI ethics, this Special Issue will highlight not only technical advances but also translational challenges and solutions.
Dr. Junfeng Wang
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 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. Cancers 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 2900 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
- machine learning
- artificial intelligence
- implementation
- fairness
- uncertainty
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.
