AIMC Topic: Meals
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An Evaluation of ChatGPT for Nutrient Content Estimation from Meal Photographs.
Nutrients
Feb 7, 2025
: Advances in artificial intelligence now allow combined use of large language and vision models; however, there has been limited evaluation of their potential in dietary assessment. This study aimed to evaluate the accuracy of ChatGPT-4 in estimatin...
Validation of artificial intelligence-based application to estimate nutrients in daily meals.
Journal of cardiology
Oct 30, 2024
BACKGROUND: Diet modification is a mainstay for the successful management of metabolic syndrome and potentially may reduce the risk of cardiovascular disease. Accurate estimation of essential nutrients in daily meals is currently challenging to quant...
Can the AI tools ChatGPT and Bard generate energy, macro- and micro-nutrient sufficient meal plans for different dietary patterns?
Nutrition research (New York, N.Y.)
Jul 14, 2024
Artificial intelligence chatbots based on large language models have recently emerged as an alternative to traditional online searches and are also entering the nutrition space. In this study, we wanted to investigate whether the artificial intellige...
AI nutrition recommendation using a deep generative model and ChatGPT.
Scientific reports
Jun 25, 2024
In recent years, major advances in artificial intelligence (AI) have led to the development of powerful AI systems for use in the field of nutrition in order to enhance personalized dietary recommendations and improve overall health and well-being. H...
AI dietician: Unveiling the accuracy of ChatGPT's nutritional estimations.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 12, 2023
We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for dietary planning and weight management. The results have a reasonable level of accuracy, with energ...
Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.
Nutrients
Nov 30, 2023
Photo-based dietary assessment is becoming more feasible as artificial intelligence methods improve. However, advancement of these methods for dietary assessment in research settings has been hindered by the lack of an appropriate dataset against whi...
The Nutritional Content of Meal Images in Free-Living Conditions-Automatic Assessment with goFOOD.
Nutrients
Sep 2, 2023
A healthy diet can help to prevent or manage many important conditions and diseases, particularly obesity, malnutrition, and diabetes. Recent advancements in artificial intelligence and smartphone technologies have enabled applications to conduct aut...
Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence.
Endocrine
Oct 12, 2022
BACKGROUND: An unhealthy diet or excessive amount of food intake creates obesity issues in human beings that further may cause several diseases such as Polycystic Ovary Syndrome (PCOS), Cardiovascular disease, Diabetes, Cancers, etc. Obesity is a maj...
Intake monitoring in free-living conditions: Overview and lessons we have learned.
Appetite
May 26, 2022
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as the measurem...
Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study.
Journal of medical Internet research
Mar 1, 2022
BACKGROUND: Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of eating in a free-living environment remains a challenge because of the lack of a ...
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