AI-Based Applications in Cancers
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 14
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI) technologies is transforming oncology, reshaping how cancer is detected, diagnosed, and treated. This Special Issue, "AI-Based Applications in Cancers", highlights the growing impact of AI across the cancer care continuum—from early detection and risk prediction to precision therapy and real-time monitoring. Leveraging machine learning, deep learning, Bayesian networks, causal learning, large language models (LLMs), and other data-driven approaches, researchers and clinicians can now analyze complex biomedical data with greater accuracy and efficiency. AI applications in radiology, pathology, genomics, and clinical decision-making are enabling more personalized, timely, and effective interventions. At the same time, the integration of AI into clinical practice presents key challenges, including data quality, model performance, training efficiency, transparency, and ethical considerations. This Special Issue brings together cutting-edge research and multidisciplinary perspectives to showcase the latest innovations at the intersection of AI and cancer care. By fostering collaboration between computational scientists and healthcare professionals, we aim to advance the development and responsible deployment of AI tools that improve patient outcomes. We invite authors to contribute original research papers to this Special Issue as we explore the opportunities and challenges of harnessing AI to address one of the most critical health issues of our time.
Dr. Xia Jiang
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
- AI
- machine learning
- deep learning
- Bayesian networks
- causal learning
- LLM
- cancer
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