Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer
release_sw2bo7x225egrj5yznjprfsycy
by
HANG QIU, Shuhan Ding, Jianbo Liu, Wang Liya, XIAODONG WANG
Abstract
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early detection and diagnosis, comprehensive assessment of treatment response, and precise prediction of prognosis are essential to improve the patients' survival rate. In recent years, due to the explosion of clinical and omics data, and groundbreaking research in machine learning, artificial intelligence (AI) has shown a great application potential in clinical field of CRC, providing new auxiliary approaches for clinicians to identify high-risk patients, select precise and personalized treatment plans, as well as to predict prognoses. This review comprehensively analyzes and summarizes the research progress and clinical application value of AI technologies in CRC screening, diagnosis, treatment, and prognosis, demonstrating the current status of the AI in the main clinical stages. The limitations, challenges, and future perspectives in the clinical implementation of AI are also discussed.
In application/xml+jats
format
Archived Files and Locations
application/pdf 2.0 MB
file_4hlnfu7mjbewdb5qovavcl3ola
|
mdpi-res.com (publisher) web.archive.org (webarchive) |
Web Captures
https://www.mdpi.com/1718-7729/29/3/146/htm
2022-09-09 09:39:24 | 42 resources webcapture_gyo7qxqh7vhmxj4jvslyrl57ia
|
web.archive.org (webarchive) |
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar