Advancements in the application of artificial intelligence in the field of colorectal cancer
Colorectal cancer (CRC) is a prevalent malignant tumor in the digestive system. As reported in the 2020 global cancer statistics, CRC accounted for more than 1.9 million new cases and 935,000 deaths, making it the third most common cancer worldwide in terms of incidence and the second leading cause...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1499223/full |
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| author | Mengying Zhu Mengying Zhu Zhenzhu Zhai Yue Wang Fang Chen Ruibin Liu Ruibin Liu Xiaoquan Yang Guohua Zhao |
| author_facet | Mengying Zhu Mengying Zhu Zhenzhu Zhai Yue Wang Fang Chen Ruibin Liu Ruibin Liu Xiaoquan Yang Guohua Zhao |
| author_sort | Mengying Zhu |
| collection | DOAJ |
| description | Colorectal cancer (CRC) is a prevalent malignant tumor in the digestive system. As reported in the 2020 global cancer statistics, CRC accounted for more than 1.9 million new cases and 935,000 deaths, making it the third most common cancer worldwide in terms of incidence and the second leading cause of cancer-related deaths globally. This poses a significant threat to global public health. Early screening methods, such as fecal occult blood tests, colonoscopies, and imaging techniques, are crucial for detecting early lesions and enabling timely intervention before cancer becomes invasive. Early detection greatly enhances treatment possibilities, such as surgery, radiation therapy, and chemotherapy, with surgery being the main approach for treating early-stage CRC. In this context, artificial intelligence (AI) has shown immense potential in revolutionizing CRC management, serving as one of the most effective screening tools. AI, utilizing machine learning (ML) and deep learning (DL) algorithms, improves early detection, diagnosis, and treatment by processing large volumes of medical data, uncovering hidden patterns, and forecasting disease development. DL, a more advanced form of ML, simulates the brain’s processing power, enhancing the accuracy of tumor detection, differentiation, and prognosis predictions. These innovations offer the potential to revolutionize cancer care by boosting diagnostic accuracy, refining treatment approaches, and ultimately enhancing patient outcomes. |
| format | Article |
| id | doaj-art-6c5ca98e458f4c1cbf65c818837e124e |
| institution | DOAJ |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-6c5ca98e458f4c1cbf65c818837e124e2025-08-20T03:11:10ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-02-011510.3389/fonc.2025.14992231499223Advancements in the application of artificial intelligence in the field of colorectal cancerMengying Zhu0Mengying Zhu1Zhenzhu Zhai2Yue Wang3Fang Chen4Ruibin Liu5Ruibin Liu6Xiaoquan Yang7Guohua Zhao8Liaoning University of Traditional Chinese Medicine, Shenyang, ChinaDepartment of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaLiaoning University of Traditional Chinese Medicine, Shenyang, ChinaDepartment of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of Gynecology, People’s Hospital of Liaoning Province, Shenyang, ChinaLiaoning University of Traditional Chinese Medicine, Shenyang, ChinaDepartment of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaColorectal cancer (CRC) is a prevalent malignant tumor in the digestive system. As reported in the 2020 global cancer statistics, CRC accounted for more than 1.9 million new cases and 935,000 deaths, making it the third most common cancer worldwide in terms of incidence and the second leading cause of cancer-related deaths globally. This poses a significant threat to global public health. Early screening methods, such as fecal occult blood tests, colonoscopies, and imaging techniques, are crucial for detecting early lesions and enabling timely intervention before cancer becomes invasive. Early detection greatly enhances treatment possibilities, such as surgery, radiation therapy, and chemotherapy, with surgery being the main approach for treating early-stage CRC. In this context, artificial intelligence (AI) has shown immense potential in revolutionizing CRC management, serving as one of the most effective screening tools. AI, utilizing machine learning (ML) and deep learning (DL) algorithms, improves early detection, diagnosis, and treatment by processing large volumes of medical data, uncovering hidden patterns, and forecasting disease development. DL, a more advanced form of ML, simulates the brain’s processing power, enhancing the accuracy of tumor detection, differentiation, and prognosis predictions. These innovations offer the potential to revolutionize cancer care by boosting diagnostic accuracy, refining treatment approaches, and ultimately enhancing patient outcomes.https://www.frontiersin.org/articles/10.3389/fonc.2025.1499223/fullcolorectal cancerartificial intelligencediagnosistreatmentprognosis prediction |
| spellingShingle | Mengying Zhu Mengying Zhu Zhenzhu Zhai Yue Wang Fang Chen Ruibin Liu Ruibin Liu Xiaoquan Yang Guohua Zhao Advancements in the application of artificial intelligence in the field of colorectal cancer Frontiers in Oncology colorectal cancer artificial intelligence diagnosis treatment prognosis prediction |
| title | Advancements in the application of artificial intelligence in the field of colorectal cancer |
| title_full | Advancements in the application of artificial intelligence in the field of colorectal cancer |
| title_fullStr | Advancements in the application of artificial intelligence in the field of colorectal cancer |
| title_full_unstemmed | Advancements in the application of artificial intelligence in the field of colorectal cancer |
| title_short | Advancements in the application of artificial intelligence in the field of colorectal cancer |
| title_sort | advancements in the application of artificial intelligence in the field of colorectal cancer |
| topic | colorectal cancer artificial intelligence diagnosis treatment prognosis prediction |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1499223/full |
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