Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer
1
Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China
2
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
3
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA
4
West China School of Medicine, Sichuan University, Chengdu 610041, China
5
Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Curr. Oncol. 2022, 29(3), 1773-1795; https://doi.org/10.3390/curroncol29030146
Received: 27 January 2022
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Revised: 28 February 2022
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Accepted: 3 March 2022
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Published: 7 March 2022
(This article belongs to the Special Issue Cancer Screening, Diagnosis and Theragnosis Using Artificial Intelligence)
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.
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Keywords:
colorectal cancer; artificial intelligence; machine learning; deep learning; diagnosis; prognosis; treatment; screening
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MDPI and ACS Style
Qiu, H.; Ding, S.; Liu, J.; Wang, L.; Wang, X. Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer. Curr. Oncol. 2022, 29, 1773-1795. https://doi.org/10.3390/curroncol29030146
AMA Style
Qiu H, Ding S, Liu J, Wang L, Wang X. Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer. Current Oncology. 2022; 29(3):1773-1795. https://doi.org/10.3390/curroncol29030146
Chicago/Turabian StyleQiu, Hang, Shuhan Ding, Jianbo Liu, Liya Wang, and Xiaodong Wang. 2022. "Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer" Current Oncology 29, no. 3: 1773-1795. https://doi.org/10.3390/curroncol29030146
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