AI-empowered whole-course nutritional management: pioneering the future of elderly patient care
10.3760/cma.j.cn115822-20250914-00190
- VernacularTitle:人工智能技术开创老年患者全程营养管理的未来
- Author:
Mingwei ZHU
1
;
Yonghao LI
;
Huan XI
Author Information
1. 北京医院普通外科肝胆胰外科 国家老年医学中心 中国医学科学院老年医学研究院，北京 100730
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Elderly patients;
Whole-course nutritional management
- From:
Chinese Journal of Clinical Nutrition
2025;33(5):321-325
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, the rapid development of artificial intelligence (AI) has revolutionized the whole-course nutritional management of elderly patients. AI technologies, including machine learning and natural language processing, are capable of efficiently processing vast amounts of multidimensional information such as clinical data, laboratory test results, and imaging findings. For instance, machine learning algorithms can efficiently identify complex nutritional metabolism patterns and accurately predict malnutrition and its trends in elderly patients. Following the standard pathway of "screening, assessment, diagnosis, treatment, and monitoring", AI technology empowers the whole-course nutritional management for elderly patients, forming a refined, data-driven management model, and shows great potential in improving the nutritional status of elderly patients, enhancing treatment outcomes, and promoting elderly health.
