MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3760/cma.j.cn441530-20220329-00120

Медицинская библиотека · Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery · 2022

[Application and progress of artificial intelligence technology in gastric cancer diagnosis and treatment].

Liang W Q, Chen T, Yu J

СтатьяПеревод пока не подготовлен

Аннотация

Artificial intelligence (AI) is one of the most rapidly evolving fields in biomedicine during the past decade. Represented by radiomics, machine learning and deep neural network, AI has been increasingly favored by researchers due to its ability to obtain feature information and discover the potential relationship between data and medical outcomes from high-throughput medical data. The incidence and mortality of gastric cancer (GC) has remained high in China. Through combining AI technology with medical examination such as endoscopy, imaging, pathological examination and sequencing, clinical researchers have made great progress in the auxiliary diagnosis, disease staging, prognosis and curative effect prediction of patients with GC. Although the intervention of AI in the medical industry has greatly improved the effective utilization of high-throughput data and accelerated the intelligent process of disease diagnosis and treatment, a number of problems has been raised in medical ethics, patient privacy and the legal status of medical AI at the same time. In the future, rational planning and management of AI technology will provide a strong impetus to promote the development of medicine and reshape the medical industry.

Для цитирования: Liang W Q, Chen T, Yu J. [Application and progress of artificial intelligence technology in gastric cancer diagnosis and treatment].. Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery. 2022. DOI: 10.3760/cma.j.cn441530-20220329-00120.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.