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Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer
| Content Provider | MDPI |
|---|---|
| Author | Qiu, Hang Ding, Shuhan Liu, Jianbo Wang, Liya Wang, Xiaodong |
| Copyright Year | 2022 |
| Description | 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. |
| Ending Page | 1795 |
| Page Count | 23 |
| Starting Page | 1773 |
| e-ISSN | 17187729 |
| DOI | 10.3390/curroncol29030146 |
| Journal | Current Oncology |
| Issue Number | 3 |
| Volume Number | 29 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-03-07 |
| Access Restriction | Open |
| Subject Keyword | Current Oncology Colorectal Cancer Artificial Intelligence Machine Learning Deep Learning Diagnosis Prognosis Treatment Screening |
| Content Type | Text |
| Resource Type | Article |
