The artificial intelligence revolution in gastric cancer management: clinical applications
Abstract Nowadays, gastric cancer has become a significant issue in the global cancer burden, and its impact cannot be ignored. The rapid development of artificial intelligence technology is attempting to address this situation, aiming to change the clinical management landscape of gastric cancer fu...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2025-03-01
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| Series: | Cancer Cell International |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12935-025-03756-4 |
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| _version_ | 1849390225716936704 |
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| author | Runze Li Jingfan Li Yuman Wang Xiaoyu Liu Weichao Xu Runxue Sun Binqing Xue Xinqian Zhang Yikun Ai Yanru Du Jianming Jiang |
| author_facet | Runze Li Jingfan Li Yuman Wang Xiaoyu Liu Weichao Xu Runxue Sun Binqing Xue Xinqian Zhang Yikun Ai Yanru Du Jianming Jiang |
| author_sort | Runze Li |
| collection | DOAJ |
| description | Abstract Nowadays, gastric cancer has become a significant issue in the global cancer burden, and its impact cannot be ignored. The rapid development of artificial intelligence technology is attempting to address this situation, aiming to change the clinical management landscape of gastric cancer fundamentally. In this transformative change, machine learning and deep learning, as two core technologies, play a pivotal role, bringing unprecedented innovations and breakthroughs in the diagnosis, treatment, and prognosis evaluation of gastric cancer. This article comprehensively reviews the latest research status and application of artificial intelligence algorithms in gastric cancer, covering multiple dimensions such as image recognition, pathological analysis, personalized treatment, and prognosis risk assessment. These applications not only significantly improve the sensitivity of gastric cancer risk monitoring, the accuracy of diagnosis, and the precision of survival prognosis but also provide robust data support and a scientific basis for clinical decision-making. The integration of artificial intelligence, from optimizing the diagnosis process and enhancing diagnostic efficiency to promoting the practice of precision medicine, demonstrates its promising prospects for reshaping the treatment model of gastric cancer. Although most of the current AI-based models have not been widely used in clinical practice, with the continuous deepening and expansion of precision medicine, we have reason to believe that a new era of AI-driven gastric cancer care is approaching. Graphical Abstract |
| format | Article |
| id | doaj-art-d19507917f8f4fe0b8c32d732f4ea985 |
| institution | Kabale University |
| issn | 1475-2867 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Cell International |
| spelling | doaj-art-d19507917f8f4fe0b8c32d732f4ea9852025-08-20T03:41:43ZengBMCCancer Cell International1475-28672025-03-0125112110.1186/s12935-025-03756-4The artificial intelligence revolution in gastric cancer management: clinical applicationsRunze Li0Jingfan Li1Yuman Wang2Xiaoyu Liu3Weichao Xu4Runxue Sun5Binqing Xue6Xinqian Zhang7Yikun Ai8Yanru Du9Jianming Jiang10Hebei University of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineHebei Hospital of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineNorth China University of Science and TechnologyHebei Hospital of Traditional Chinese MedicineHebei University of Traditional Chinese MedicineAbstract Nowadays, gastric cancer has become a significant issue in the global cancer burden, and its impact cannot be ignored. The rapid development of artificial intelligence technology is attempting to address this situation, aiming to change the clinical management landscape of gastric cancer fundamentally. In this transformative change, machine learning and deep learning, as two core technologies, play a pivotal role, bringing unprecedented innovations and breakthroughs in the diagnosis, treatment, and prognosis evaluation of gastric cancer. This article comprehensively reviews the latest research status and application of artificial intelligence algorithms in gastric cancer, covering multiple dimensions such as image recognition, pathological analysis, personalized treatment, and prognosis risk assessment. These applications not only significantly improve the sensitivity of gastric cancer risk monitoring, the accuracy of diagnosis, and the precision of survival prognosis but also provide robust data support and a scientific basis for clinical decision-making. The integration of artificial intelligence, from optimizing the diagnosis process and enhancing diagnostic efficiency to promoting the practice of precision medicine, demonstrates its promising prospects for reshaping the treatment model of gastric cancer. Although most of the current AI-based models have not been widely used in clinical practice, with the continuous deepening and expansion of precision medicine, we have reason to believe that a new era of AI-driven gastric cancer care is approaching. Graphical Abstracthttps://doi.org/10.1186/s12935-025-03756-4Artificial intelligenceGastric cancerDiagnosisTreatForecastResearch progress |
| spellingShingle | Runze Li Jingfan Li Yuman Wang Xiaoyu Liu Weichao Xu Runxue Sun Binqing Xue Xinqian Zhang Yikun Ai Yanru Du Jianming Jiang The artificial intelligence revolution in gastric cancer management: clinical applications Cancer Cell International Artificial intelligence Gastric cancer Diagnosis Treat Forecast Research progress |
| title | The artificial intelligence revolution in gastric cancer management: clinical applications |
| title_full | The artificial intelligence revolution in gastric cancer management: clinical applications |
| title_fullStr | The artificial intelligence revolution in gastric cancer management: clinical applications |
| title_full_unstemmed | The artificial intelligence revolution in gastric cancer management: clinical applications |
| title_short | The artificial intelligence revolution in gastric cancer management: clinical applications |
| title_sort | artificial intelligence revolution in gastric cancer management clinical applications |
| topic | Artificial intelligence Gastric cancer Diagnosis Treat Forecast Research progress |
| url | https://doi.org/10.1186/s12935-025-03756-4 |
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