Latest AI and machine learning research in obesity for healthcare professionals.
BACKGROUND: Obesity is a leading cause of preventable death worldwide. Artificial intelligence (AI),...
Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence a...
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...
Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle chang...
The prevalence of diabetes has been increasing in recent years, and previous research has found that...
Metabolic and bariatric surgery is an effective treatment for the management of obesity and related ...
In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to...
Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the hum...
To identify the influencing factors and develop a predictive model for the risk of abnormal liver fu...
Dissemination of robotic surgical technology for robot-assisted laparoscopic prostatectomy (RALP) ha...
Holistic health care (HHC) is a synonym for complete patient care, and as such an efficient clinical...
DNA methylation is closely related to the occurrence and development of many diseases, but its role ...
BACKGROUND: An unhealthy diet or excessive amount of food intake creates obesity issues in human bei...
This paper presents an integrated and scalable precision health service for health promotion and chr...
The application of artificial intelligence has realized the transformation of people's production an...
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine ...
The development of the advanced metering infrastructure (AMI) and the application of artificial inte...
Tortuosity of the colon is an important parameter for predicting the course of colonoscopy. Computed...
CT-based body composition (BC) measurements have historically been too resource intensive to analyz...
To understand the origin of disease comorbidity and to identify the essential proteins and pathways ...