Latest AI and machine learning research in diet & nutrition for healthcare professionals.
With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare systems have emerged, including the integration of healthcare systems with capital, the introduction of healthcare systems into long-term care institutions, and the integration of measurement data for care or exposure. These systems provide comprehensive ...
OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT images), to estimate in kilograms (Kg) the body composition (BC) in patients with obesity (PwO), by comparison with Dual-energy X-ray absorptiometry (DXA). b) To evaluate the accuracy of a new approach (based on both cm2 and Hounsfield Unit parameters provided by CT images), using an automatic softwar...
Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most existing deterioration prediction models require a larg...
INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk for weight gain and intervening before they gain w...
PURPOSE: Osteoporosis is the systematic degeneration of the human skeleton, with consequences ranging from a reduced quality of life to mortality. The...
In children, gallbladder disease has become more common due to the rise in childhood obesity and subsequent shift in etiology. While the gold standar...
BACKGROUND: Scientific discovery progresses by exploring new and uncharted territory. More specifically, it advances by a process of transforming unkn...
To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients with morbid obesity (body mass index (BMI > 40 kg/m)...
The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide, along with obesity. Therefore, novel methods to ...
Macrophages respond against infection through interacting with vitamin D and vitamin D receptor (VDR). There has been no study analyzing the associat...
BACKGROUND: Analgesia after robot assisted radical cystectomy aims to reduce postoperative pain and opioid consumption, while facilitating early mobil...
Modernization of society from a rural, hunter-gatherer setting into an urban and industrial habitat, with the associated dietary changes, has led to a...
With the development of deep learning technology, vision-based food nutrition estimation is gradually entering the public view for its advantage in ac...
BACKGROUND AND AIM: Morbid obesity is associated with poorer postoperative outcomes in colorectal cancer (CRC) patients. We aimed to evaluate short-te...
We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) and robot-assisted radical cystectomy (RARC) for b...
Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technolo...
Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep learning methods to lateral spine radiography (a simple, widely...
BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential v...
BACKGROUND: The prospective relationship between plasma vitamin E levels and proteinuria remains uncertain. We aimed to evaluate the association betwe...
Technology impacts human life in both the aspects such as positive and negative, which helps in better communication and eliminating geographical boun...