Artificial Intelligence in Malnutrition: A Systematic Literature Review.

ABSTRACT: Malnutrition among the population of the world is a frequent yet underdiagnosed problem in both children and adults. Development of malnutrition screening and diagnostic tools for early detection of malnutrition is necessary to prevent long-term complications to patients' health and well-being. Most of these tools are based on predefined questionnaires and consensus guidelines. The use of artificial intelligence (AI) allows for automated tools to detect malnutrition in an earlier stage to prevent long-term consequences. In this study, a systematic literature review was carried out with the goal of providing detailed information on what patient groups, screening tools, machine learning algorithms, data types, and variables are being used, as well as the current limitations and implementatio

SUBMITTER: Janssen SM 

PROVIDER: S-EPMC11403436 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature