Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?
The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate as...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Gastrointestinal Endoscopy
2024-01-01
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| Series: | Clinical Endoscopy |
| Subjects: | |
| Online Access: | http://www.e-ce.org/upload/pdf/ce-2023-036.pdf |
| _version_ | 1797338536660172800 |
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| author | James Weiquan Li Lai Mun Wang Katsuro Ichimasa Kenneth Weicong Lin James Chi-Yong Ngu Tiing Leong Ang |
| author_facet | James Weiquan Li Lai Mun Wang Katsuro Ichimasa Kenneth Weicong Lin James Chi-Yong Ngu Tiing Leong Ang |
| author_sort | James Weiquan Li |
| collection | DOAJ |
| description | The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility. |
| first_indexed | 2024-03-08T09:32:41Z |
| format | Article |
| id | doaj.art-3400075036b44e7f82c5b607339525cf |
| institution | Directory Open Access Journal |
| issn | 2234-2400 2234-2443 |
| language | English |
| last_indexed | 2024-03-08T09:32:41Z |
| publishDate | 2024-01-01 |
| publisher | Korean Society of Gastrointestinal Endoscopy |
| record_format | Article |
| series | Clinical Endoscopy |
| spelling | doaj.art-3400075036b44e7f82c5b607339525cf2024-01-30T23:10:54ZengKorean Society of Gastrointestinal EndoscopyClinical Endoscopy2234-24002234-24432024-01-01571243510.5946/ce.2023.0367814Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?James Weiquan Li0Lai Mun Wang1Katsuro Ichimasa2Kenneth Weicong Lin3James Chi-Yong Ngu4Tiing Leong Ang5 Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore Department of Laboratory Medicine, Changi General Hospital, Singapore Health Services, Singapore Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore Department of General Surgery, Changi General Hospital, Singapore Health Services, Singapore Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, SingaporeThe field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.http://www.e-ce.org/upload/pdf/ce-2023-036.pdfartificial intelligencecolorectal neoplasmsdeep learninglymphatic metastasis |
| spellingShingle | James Weiquan Li Lai Mun Wang Katsuro Ichimasa Kenneth Weicong Lin James Chi-Yong Ngu Tiing Leong Ang Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? Clinical Endoscopy artificial intelligence colorectal neoplasms deep learning lymphatic metastasis |
| title | Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? |
| title_full | Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? |
| title_fullStr | Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? |
| title_full_unstemmed | Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? |
| title_short | Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? |
| title_sort | use of artificial intelligence in the management of t1 colorectal cancer a new tool in the arsenal or is deep learning out of its depth |
| topic | artificial intelligence colorectal neoplasms deep learning lymphatic metastasis |
| url | http://www.e-ce.org/upload/pdf/ce-2023-036.pdf |
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