Application progress of artificial intelligence in tumor diagnosis and treatment
The rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in oncology, enhancing the precision and efficiency of tumor diagnosis and treatment. This review examines recent advancements in AI applications across tumor imaging diagnostics, pathological analysis,...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1487207/full |
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| author | Fan Sun Fan Sun Fan Sun Fan Sun Li Zhang Li Zhang Li Zhang Li Zhang Zhongsheng Tong Zhongsheng Tong Zhongsheng Tong Zhongsheng Tong |
| author_facet | Fan Sun Fan Sun Fan Sun Fan Sun Li Zhang Li Zhang Li Zhang Li Zhang Zhongsheng Tong Zhongsheng Tong Zhongsheng Tong Zhongsheng Tong |
| author_sort | Fan Sun |
| collection | DOAJ |
| description | The rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in oncology, enhancing the precision and efficiency of tumor diagnosis and treatment. This review examines recent advancements in AI applications across tumor imaging diagnostics, pathological analysis, and treatment optimization, with a particular focus on breast cancer, lung cancer, and liver cancer. By synthesizing findings from peer-reviewed studies published over the past decade, this paper analyzes the role of AI in enhancing diagnostic accuracy, streamlining therapeutic decision-making, and personalizing treatment strategies. Additionally, this paper addresses challenges related to AI integration into clinical workflows and regulatory compliance. As AI continues to evolve, its applications in oncology promise further improvements in patient outcomes, though additional research is needed to address its limitations and ensure ethical and effective deployment. |
| format | Article |
| id | doaj-art-7ba21c464ebb496da7a7b68c7b85ea43 |
| institution | Kabale University |
| issn | 2624-8212 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-7ba21c464ebb496da7a7b68c7b85ea432025-01-07T06:40:27ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122025-01-01710.3389/frai.2024.14872071487207Application progress of artificial intelligence in tumor diagnosis and treatmentFan Sun0Fan Sun1Fan Sun2Fan Sun3Li Zhang4Li Zhang5Li Zhang6Li Zhang7Zhongsheng Tong8Zhongsheng Tong9Zhongsheng Tong10Zhongsheng Tong11National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaNational Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaNational Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, ChinaTianjin’s Clinical Research Center for Cancer, Tianjin, ChinaKey Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, ChinaKey Laboratory of Cancer Prevention and Therapy, Tianjin, ChinaThe rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in oncology, enhancing the precision and efficiency of tumor diagnosis and treatment. This review examines recent advancements in AI applications across tumor imaging diagnostics, pathological analysis, and treatment optimization, with a particular focus on breast cancer, lung cancer, and liver cancer. By synthesizing findings from peer-reviewed studies published over the past decade, this paper analyzes the role of AI in enhancing diagnostic accuracy, streamlining therapeutic decision-making, and personalizing treatment strategies. Additionally, this paper addresses challenges related to AI integration into clinical workflows and regulatory compliance. As AI continues to evolve, its applications in oncology promise further improvements in patient outcomes, though additional research is needed to address its limitations and ensure ethical and effective deployment.https://www.frontiersin.org/articles/10.3389/frai.2024.1487207/fullartificial intelligencetumorpathological diagnosisimage recognitionprecision medicinetherapy |
| spellingShingle | Fan Sun Fan Sun Fan Sun Fan Sun Li Zhang Li Zhang Li Zhang Li Zhang Zhongsheng Tong Zhongsheng Tong Zhongsheng Tong Zhongsheng Tong Application progress of artificial intelligence in tumor diagnosis and treatment Frontiers in Artificial Intelligence artificial intelligence tumor pathological diagnosis image recognition precision medicine therapy |
| title | Application progress of artificial intelligence in tumor diagnosis and treatment |
| title_full | Application progress of artificial intelligence in tumor diagnosis and treatment |
| title_fullStr | Application progress of artificial intelligence in tumor diagnosis and treatment |
| title_full_unstemmed | Application progress of artificial intelligence in tumor diagnosis and treatment |
| title_short | Application progress of artificial intelligence in tumor diagnosis and treatment |
| title_sort | application progress of artificial intelligence in tumor diagnosis and treatment |
| topic | artificial intelligence tumor pathological diagnosis image recognition precision medicine therapy |
| url | https://www.frontiersin.org/articles/10.3389/frai.2024.1487207/full |
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