AIMC Topic: Dietetics

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Comparative analysis of AI on human nutrition knowledge: Evaluating large language model-based conversational agents against dietetics students and the general population.

PloS one
Understanding the core principles of nutrition is essential in the contemporary context of abundant and often contradictory dietary advice, to empower individuals to make informed dietary choices and manage diet-related non-communicable diseases. The...

Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition
The rapid surge in artificial intelligence (AI) has dominated technological innovation in today's society. As experts begin to understand the potential, a spectrum of opportunities could yield a remarkable revolution. The upsurge in healthcare could ...

Applying Contemporary Machine Learning Approaches to Nutrition Care Real-World Evidence: Findings From the National Quality Improvement Data Set.

Journal of the Academy of Nutrition and Dietetics
Using real-world data from the Academy of Nutrition and Dietetics Health Informatics Infrastructure, we use state-of-the-art clustering techniques to identify 2 phenotypes characterizing the episodes of nutrition care observed in the National Quality...

Automatic food detection in egocentric images using artificial intelligence technology.

Public health nutrition
OBJECTIVE: To develop an artificial intelligence (AI)-based algorithm which can automatically detect food items from images acquired by an egocentric wearable camera for dietary assessment.

Digital dietetics and the era of artificial intelligence.

Nutrition & dietetics : the journal of the Dietitians Association of Australia