Practice and prospect of artificial intelligence in diagnosis and treatment of gastric cancer
Li Jiayi, Wang Yue, Shang Lanlan, Xu Xing, Zhao Yan
Abstract
In recent years, artificial intelligence (AI) and oncology are rapidly integrated and developed, gradually moving towards clinical application. In China, the incidence and mortality of gastric cancer rank first among various tumors. The development of AI technologies such as convolutional neural network, narrow-band imaging magnifying endoscope, full-field digital section and survival circulation network has the potential to be applied to early screening, auxiliary diagnosis, pathological diagnosis, prognosis analysis, as well as individualized diagnosis and treatment process of gastric cancer. However, AI medical treatment still has many problems such as insufficient data sample size and difficulty in integration. Reasonable design and application of AI technology is expected to provide more scientific and accurate diagnosis and treatment for patients with gastric cancer, improve the overall survival rate and quality of life of patients with gastric cancer, and achieve more breakthroughs in the medical field.
Key words:
Artificial intelligence; Deep learning; Stomach neoplasms; Therapy
Contributor Information
Li Jiayi
Graduate School, China Medical University, Shenyang 110122, China
First Department of Gastric Surgery, Liaoning Cancer Hospital (Liaoning Cancer Institute), Shenyang 110042, China
Liaoning Provincial Key Laboratory of Medical Engineering, Shenyang 110042, China
Wang Yue
Graduate School, China Medical University, Shenyang 110122, China
First Department of Gastric Surgery, Liaoning Cancer Hospital (Liaoning Cancer Institute), Shenyang 110042, China
Liaoning Provincial Key Laboratory of Medical Engineering, Shenyang 110042, China
Shang Lanlan
Graduate School, China Medical University, Shenyang 110122, China
First Department of Gastric Surgery, Liaoning Cancer Hospital (Liaoning Cancer Institute), Shenyang 110042, China
Xu Xing
First Department of Gastric Surgery, Liaoning Cancer Hospital (Liaoning Cancer Institute), Shenyang 110042, China
Liaoning Provincial Key Laboratory of Medical Engineering, Shenyang 110042, China
First Department of Gastric Surgery, Cancer Hospital of Dalian University of Technology, Shenyang 110042, China
Zhao Yan
Graduate School, China Medical University, Shenyang 110122, China
First Department of Gastric Surgery, Liaoning Cancer Hospital (Liaoning Cancer Institute), Shenyang 110042, China
Liaoning Provincial Key Laboratory of Medical Engineering, Shenyang 110042, China
First Department of Gastric Surgery, Cancer Hospital of Dalian University of Technology, Shenyang 110042, China
