The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review
Importance: Digestive system neoplasms (DSNs) are the leading cause of cancer-related mortality with a 5-year survival rate of less than 20%. Subjective evaluation of medical images including endoscopic images, whole slide images, computed tomography images, and magnetic resonance images plays a vit...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
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| Series: | Health Data Science |
| Online Access: | https://spj.science.org/doi/10.34133/hds.0005 |
| _version_ | 1797660351016206336 |
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| author | Shuaitong Zhang Wei Mu Di Dong Jingwei Wei Mengjie Fang Lizhi Shao Yu Zhou Bingxi He Song Zhang Zhenyu Liu Jianhua Liu Jie Tian |
| author_facet | Shuaitong Zhang Wei Mu Di Dong Jingwei Wei Mengjie Fang Lizhi Shao Yu Zhou Bingxi He Song Zhang Zhenyu Liu Jianhua Liu Jie Tian |
| author_sort | Shuaitong Zhang |
| collection | DOAJ |
| description | Importance: Digestive system neoplasms (DSNs) are the leading cause of cancer-related mortality with a 5-year survival rate of less than 20%. Subjective evaluation of medical images including endoscopic images, whole slide images, computed tomography images, and magnetic resonance images plays a vital role in the clinical practice of DSNs, but with limited performance and increased workload of radiologists or pathologists. The application of artificial intelligence (AI) in medical image analysis holds promise to augment the visual interpretation of medical images, which could not only automate the complicated evaluation process but also convert medical images into quantitative imaging features that associated with tumor heterogeneity. Highlights: We briefly introduce the methodology of AI for medical image analysis and then review its clinical applications including clinical auxiliary diagnosis, assessment of treatment response, and prognosis prediction on 4 typical DSNs including esophageal cancer, gastric cancer, colorectal cancer, and hepatocellular carcinoma. Conclusion: AI technology has great potential in supporting the clinical diagnosis and treatment decision-making of DSNs. Several technical issues should be overcome before its application into clinical practice of DSNs. |
| first_indexed | 2024-03-11T18:29:36Z |
| format | Article |
| id | doaj.art-0909f873986b40e4ad56a9031cc53a14 |
| institution | Directory Open Access Journal |
| issn | 2765-8783 |
| language | English |
| last_indexed | 2024-03-11T18:29:36Z |
| publishDate | 2023-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Health Data Science |
| spelling | doaj.art-0909f873986b40e4ad56a9031cc53a142023-10-13T13:19:27ZengAmerican Association for the Advancement of Science (AAAS)Health Data Science2765-87832023-01-01310.34133/hds.0005The Applications of Artificial Intelligence in Digestive System Neoplasms: A ReviewShuaitong Zhang0Wei Mu1Di Dong2Jingwei Wei3Mengjie Fang4Lizhi Shao5Yu Zhou6Bingxi He7Song Zhang8Zhenyu Liu9Jianhua Liu10Jie Tian11School of Engineering Medicine, Beihang University, Beijing, China.School of Engineering Medicine, Beihang University, Beijing, China.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.School of Engineering Medicine, Beihang University, Beijing, China.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.School of Engineering Medicine, Beihang University, Beijing, China.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.Department of Oncology, Guangdong Provincial People's Hospital/Second Clinical Medical College of Southern Medical University/Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.School of Engineering Medicine, Beihang University, Beijing, China.Importance: Digestive system neoplasms (DSNs) are the leading cause of cancer-related mortality with a 5-year survival rate of less than 20%. Subjective evaluation of medical images including endoscopic images, whole slide images, computed tomography images, and magnetic resonance images plays a vital role in the clinical practice of DSNs, but with limited performance and increased workload of radiologists or pathologists. The application of artificial intelligence (AI) in medical image analysis holds promise to augment the visual interpretation of medical images, which could not only automate the complicated evaluation process but also convert medical images into quantitative imaging features that associated with tumor heterogeneity. Highlights: We briefly introduce the methodology of AI for medical image analysis and then review its clinical applications including clinical auxiliary diagnosis, assessment of treatment response, and prognosis prediction on 4 typical DSNs including esophageal cancer, gastric cancer, colorectal cancer, and hepatocellular carcinoma. Conclusion: AI technology has great potential in supporting the clinical diagnosis and treatment decision-making of DSNs. Several technical issues should be overcome before its application into clinical practice of DSNs.https://spj.science.org/doi/10.34133/hds.0005 |
| spellingShingle | Shuaitong Zhang Wei Mu Di Dong Jingwei Wei Mengjie Fang Lizhi Shao Yu Zhou Bingxi He Song Zhang Zhenyu Liu Jianhua Liu Jie Tian The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review Health Data Science |
| title | The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review |
| title_full | The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review |
| title_fullStr | The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review |
| title_full_unstemmed | The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review |
| title_short | The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review |
| title_sort | applications of artificial intelligence in digestive system neoplasms a review |
| url | https://spj.science.org/doi/10.34133/hds.0005 |
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