Artificial intelligence in colorectal cancer: a review

The study objective : the is to examine use of artificial intelligence (AI) in diagnosis, treatment, and prognosis Colorectal Cancer (CRC) discuss future potential AI CRC. Material Methods . Web Science, Scopus, PubMed, Medline, eLIBRARY databases were used search for publications. A on application Artificial Intelligence was discovered more than 100 sources. In review, data from 83 articles incorporated. Results review article explores medicine, specifically focusing its applications colorectal cancer (CRC). It discusses stages development CRC, including molecular understanding, image-based drug design, individualized treatment. benefits medical image analysis are highlighted, improving diagnosis accuracy inspection quality. Challenges addressed, such as standardization interpretability machine learning algorithms. treatment decision support, precision prediction discussed, emphasizing role selecting optimal treatments surgical precision. Ethical regulatory considerations integrating mentioned, patient trust, security, liability AI-assisted surgeries. emphasizes importance an standard system, dataset standardization, clinical knowledge into Overall, provides overview current research CRC prognosis, discussing benefits, challenges, prospects outcomes.