AIMC Topic: Eating

Clear Filters Showing 11 to 20 of 43 articles

[Not Available].

Aktuelle Urologie Aug 3, 2022
Robotic Surgical Procedures Robotics Eating Laparoscopy Nephrectomy Humans
View on PubMed DOI

Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.

Scientific reports Jan 7, 2022
Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference capabilities. Recent advances in automatic image-based food est...
Humans Image Processing, Computer-Assisted Predictive Value of Tests Malnutrition Diet Deep Learning Reproducibility of Results Meals Early Diagnosis Long-Term Care Nursing Homes Eating Photography Nutritive Value Automation Nutritional Status
View on PubMed DOI

Development of a bowel sound detector adapted to demonstrate the effect of food intake.

Biomedical engineering online Jan 4, 2022
OBJECTIVE: Bowel sounds (BS) carry useful information about gastrointestinal condition and feeding status. Interest in computerized bowel sound-based analysis has grown recently and techniques have evolved rapidly. An important first step for these a...
Humans Eating Acoustics Data Collection Neural Networks, Computer Postoperative Complications
View on PubMed DOI

Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients.

Nutrients Dec 17, 2021
Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for diet...
Feeding Behavior Meals Malnutrition Eating Nutrition Assessment Diet Image Processing, Computer-Assisted Inpatients Energy Intake Artificial Intelligence Hospitalization Aged Humans
View on PubMed DOI

A fatal case involved in pyrethroid insecticide ingestion: quantification of tetramethrin and resmethrin in body fluids of a deceased by LC-MS/MS.

Forensic toxicology Sep 16, 2021
PURPOSE: The quantification of parent molecules of pyrethroids tetramethrin and resmethrin in human specimens by a mass spectrometry (MS) technique has not been reported yet. A woman in her 60s was found dead in a wasteland. At the scene, an empty be...
Chromatography, Liquid Body Fluids Humans Eating Insecticides Pyrethrins Female Tandem Mass Spectrometry
View on PubMed DOI

A Review of Digital Innovations for Diet Monitoring and Precision Nutrition.

Journal of diabetes science and technology Sep 1, 2021
This article provides an up-to-date review of technological advances in 3 key areas related to diet monitoring and precision nutrition. First, we review developments in mobile applications, with a focus on food photography and artificial intelligence...
Nutritional Status Humans Artificial Intelligence Mobile Applications Diet Eating
View on PubMed DOI

Applicability of machine learning techniques in food intake assessment: A systematic review.

Critical reviews in food science and nutrition Jul 29, 2021
The evaluation of food intake is important in scientific research and clinical practice to understand the relationship between diet and health conditions of an individual or a population. Large volumes of data are generated daily in the health sector...
Nutritional Status Machine Learning Diet Eating Artificial Intelligence
View on PubMed DOI

Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jun 12, 2021
Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and h...
Animals Cattle United Kingdom Accelerometry Eating Neural Networks, Computer Data Compression
View on PubMed DOI

Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4-7th Korea National Health and Nutrition Examination Survey.

International journal of environmental research and public health May 24, 2021
Few studies have been conducted to classify and predict the influence of nutritional intake on overweight/obesity, dyslipidemia, hypertension and type 2 diabetes mellitus (T2DM) based on deep learning such as deep neural network (DNN). The present st...
Eating Dyslipidemias Overweight Obesity Humans Diabetes Mellitus, Type 2 Republic of Korea Nutrition Surveys Deep Learning Hypertension
View on PubMed DOI

Deep Learning-Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors.

JMIR mHealth and uHealth Jan 28, 2021
BACKGROUND: Multimodal wearable technologies have brought forward wide possibilities in human activity recognition, and more specifically personalized monitoring of eating habits. The emerging challenge now is the selection of most discriminative inf...
Eating Activities of Daily Living Deep Learning Wearable Electronic Devices Humans Algorithms
View on PubMed DOI
Popular Topics
Recent Journals