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عنوان انگلیسی Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prediction of Prognosis of Colorectal Cancer
چکیده انگلیسی مقاله Colorectal cancer (CRC) is one of the most common cancers globally. Prevention, precise early detection and diagnosis, selecting the best treatment strategy, and correct prediction of prognosis are essential to reduce the burden of CRC and to improve the patients’ survival and quality of life. Along with the explosion of available clinical, omics, pathological, and radiological data, artificial intelligence (AI) has shown a great potential in CRC clinical management, and has provided clinicians with new auxiliary approaches to identify high-risk patients, to select personalized treatment strategies, and to predict prognosis. This review is a comprehensive study on the research progress and clinical applications of AI in management of CRC, including screening, diagnosis, treatment, and prognosis. In short, this review demonstrates the current status of the AI in CRC management. Limitations, challenges, and future prospects of AI in the clinical management of CRC are also discussed.
کلیدواژه‌های انگلیسی مقاله Colorectal cancer,Artificial intelligence,Machine learning,Deep learning,Diagnosis,Prognosis,Treatment,Screening
نویسندگان مقاله | Sadaf G. Sepanlou
Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Iran


| Akram Pourshams


نشانی اینترنتی http://govaresh.org/index.php/dd/article/view/2683
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Review Article
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