Artificial Intelligence in Cancers—2nd Edition
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 2024 | Viewed by 414
Special Issue Editors
2. Advanced Knowledge Engineering Centre, GBTI, Roseville, CA 95661, USA
Interests: AI (artificial intelligence); medical imaging (ultrasound, MRI, CT); computer-aided diagnosis; machine learning; deep learning; hybrid deep learning; cardiovascular/stroke risk
Special Issues, Collections and Topics in MDPI journals
Interests: AI techniques in radiomics and radiogenomics (R-n-R) cancer studies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cancer is the most common cause of death in developed countries such as the United States, Japan, and the United Kingdom, and it has been shown that the number of patients has a further upsurge in aged people. As per the World Health Organization (WHO), cancer is a leading cause of death worldwide, reporting nearly 10 million deaths in 2020, or almost one in six. The most common cancers include lung, breast, colon, rectum, prostate, and brain. Over the past decade, artificial intelligence (AI) has contributed significantly to resolving various healthcare problems, specifically relating to cancer. Integrating AI and its components such as machine and deep learning in oncology care could lead to progress in prognosis, diagnosis, accuracy, and clinical decision making, leading to better health outcomes. AI-supported clinical care has the potential to play an essential role in addressing health discrepancies, especially in low-resource settings.
This Special Issue invites authors to present their findings, reviews, and challenging experiences of artificial intelligence in different types of human cancers, such as brain, bone, breast, liver, lung, head and neck, gastric, colorectal, and colon.
Dr. Jasjit S. Suri
Dr. Sanjay Saxena
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 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
- human cancers
- prognosis
- diagnosis
- accuracy
- clinical decision making
Related Special Issue
- Artificial Intelligence in Cancers in Diagnostics (11 articles)
