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Nutritional risk screening and assessment
Malnutrition is an independent risk factor that negatively influences patients' clinical
outcomes, quality of life, body function, and autonomy. Early identification of patients at risk …
outcomes, quality of life, body function, and autonomy. Early identification of patients at risk …
[HTML][HTML] Machine learning and smart devices for diabetes management: Systematic review
(1) Background: The use of smart devices to better manage diabetes has increased
significantly in recent years. These technologies have been introduced in order to make life …
significantly in recent years. These technologies have been introduced in order to make life …
[HTML][HTML] Artificial intelligence for diabetes management and decision support: literature review
Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …
including medical devices, mobile computing, and sensor technologies, have the potential to …
Artificial intelligence for diabetes care: current and future prospects
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …
care for people with diabetes and adapt treatments for complex presentations. However, the …
Predicting blood glucose with an lstm and bi-lstm based deep neural network
A deep learning network was used to predict future blood glucose levels, as this can permit
diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A …
diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A …
Image-based food classification and volume estimation for dietary assessment: A review
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
A review on vision-based analysis for automatic dietary assessment
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
Two-view 3D reconstruction for food volume estimation
The increasing prevalence of diet-related chronic diseases coupled with the ineffectiveness
of traditional diet management methods have resulted in a need for novel tools to accurately …
of traditional diet management methods have resulted in a need for novel tools to accurately …
[HTML][HTML] goFOODTM: An Artificial Intelligence System for Dietary Assessment
Accurate estimation of nutritional information may lead to healthier diets and better clinical
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
[HTML][HTML] Artificial intelligence in decision support systems for type 1 diabetes
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell
dysfunction and insulin depletion. While automated insulin delivery systems are now …
dysfunction and insulin depletion. While automated insulin delivery systems are now …