Latest AI and machine learning research in obesity for healthcare professionals.
CT examinations contain opportunistic body composition data with potential prognostic utility. Prev...
Due to the development of convenient brain-machine interfaces (BMIs), the automatic selection of a m...
In recent years, China's achievements in artificial intelligence (AI) have attracted the attention o...
Ecological theories suggest that environmental, social, and individual factors interact to cause obe...
In order to solve the problem of higher obesity rate of college students and meet the needs of colle...
Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the popul...
Adhering to a healthy diet plays an essential role in preventing many nutrition-related diseases, su...
The use of robotic-assisted keyhole surgery in gynaecology has expanded in recent years owing to tec...
Longitudinal 'omics analytical methods are extensively used in the evolving field of precision medic...
The emergence of the COVID-19 pandemic over a relatively brief interval illustrates the need for rap...
This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pe...
(1) Background: Robotics coupled with navigation (RAN) is a modern surgical platform shown to increa...
Several factors that follow the development of society affect physical inactivity, which primarily i...
In light of the ongoing occurrence of epidemics, the general populace frequently makes the decision ...
With the presentation of the blueprint of the first human genome in 2001 and the advent of technolog...
BACKGROUND: Since no effective therapies exist for Alzheimer's disease (AD), prevention has become m...
Depression is the most incapacitating disease worldwide, and it has an alarming comorbidity rate wit...
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Am...
Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of...
Epileptic seizure is one of the most chronic neurological diseases that instantaneously disrupts the...
INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world applica...