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Artificial intelligence in gastric cancer: a systematic review
Peng Jin1, Xiaoyan Ji2, Wenzhe Kang1
1Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Objective:
This study aims to systematically review the application of artificial intelligence (AI) techniques in gastric cancer and to discuss the potential limitations and future directions of AI in gastric cancer.
Methods:
A systematic review was performed that follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Pubmed, EMBASE, the Web of Science, and the Cochrane Library were used to search for gastric cancer publications with an emphasis on AI that were published up to June 2020. The terms "artificial intelligence" and "gastric cancer" were used to search for the publications.
Results:
A total of 64 articles were included in this review. In gastric cancer, AI is mainly used for molecular bio-information analysis, endoscopic detection for Helicobacter pylori infection, chronic atrophic gastritis, early gastric cancer, invasion depth, and pathology recognition. AI may also be used to establish predictive models for evaluating lymph node metastasis, response to drug treatments, and prognosis. In addition, AI can be used for surgical training, skill assessment, and surgery guidance.
Conclusions:
In the foreseeable future, AI applications can play an important role in gastric cancer management in the era of precision medicine.
Insights
Artificial intelligence (AI) is increasingly applied in gastric cancer management, aiding in diagnosis, prediction, and surgical guidance. Future AI integration promises enhanced precision medicine approaches for this disease.
Area of Science:
- Oncology
- Medical Informatics
- Bioinformatics
Background:
- Gastric cancer remains a significant global health challenge.
- Advancements in artificial intelligence (AI) offer novel approaches to oncological research and clinical practice.
Purpose of the Study:
- To systematically review the current applications of artificial intelligence (AI) in gastric cancer.
- To identify limitations and future directions for AI in gastric cancer management.
Main Methods:
- A systematic review adhering to PRISMA guidelines was conducted.
- Searches were performed in major databases (PubMed, EMBASE, Web of Science, Cochrane Library) up to June 2020.
- Keywords included "artificial intelligence" and "gastric cancer".
Main Results:
- Sixty-four articles were analyzed, highlighting diverse AI applications in gastric cancer.
- AI is utilized in molecular analysis, early detection (H. pylori, gastritis, early cancer), invasion depth assessment, and pathology.
- AI facilitates predictive modeling for lymph node metastasis, treatment response, prognosis, and surgical training/guidance.
Conclusions:
- Artificial intelligence holds significant potential to enhance gastric cancer management.
- AI applications are poised to play a crucial role in the era of precision medicine for gastric cancer.
