Latest AI and machine learning research in diet & nutrition for healthcare professionals.
With commercialization of deep learning models, daily precision dietary record based on images from smartphones becomes possible. This study took advantage of Deep-learning techniques on visual recognition tasks and proposed a big-data-driven Deep-learning model regressing from food images. We established the largest data set of Chinese dishes to date, named CNFOOD-241. It contained more than 190,...
BACKGROUND AND PURPOSE: species are opportunistic fungal pathogens that cause mild to life-threatening infections in both immunocompetent and immunocompromised populations. The increasing prevalence of drug-resistant species has posed a significant challenge to the management of infections in clinical settings. Therefore, this study aimed to investigate the direct antifungal and antibiofilm effe...
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating dis...
OBJECTIVES: Chylous ascites is a rare complication that may occur after living donor nephrectomy. The continuous loss of lymphatics, which carries a h...
Over the last three decades, agent-based modeling/model (ABM) has been one of the most powerful and valuable simulation-based decision modeling techni...
Advancements in precision livestock technology have resulted in an unprecedented amount of data being collected on individual animals. Throughout the ...
The generally accepted method for choledochal cysts is total resection of cystic extrahepatic bile ducts and gallbladder followed by biliodigestive an...
OBJECTIVE: To study the results of robot-assisted bariatric surgery using the Senhance system in patients with morbid obesity.
In the last decades, a great amount of work has been done in predictive modeling of issues related to human and environmental health. Resolution of is...
Nowadays in China, digital technology is sweeping all walks of life. To deal with the increasing incidence of chronic diseases and people's pursuit of...
In the late 2010s, artificial intelligence (AI) technologies became complementary to the research areas of food science and nutrition. This review aim...
Biomedical text classification requires having training examples labeled by clinical specialists, a process that can be costly. To address this proble...
Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can lead problems with medication and nutrition patte...
A renewed interest in data analytics and decision support systems in developing automated computer systems is facilitating the emergence of hybrid int...
The field of animal science, and especially animal nutrition, relies heavily on modeling to accomplish its day-to-day objectives. New data streams ("b...
We present perioperative outcomes of a single-center experience with robot-assisted antegrade colonic enema (ACE) channel creation for the treatment ...
The following 10 to 15 years will be a key strategic period for China to improve national nutrition and health. As people's understanding of health an...
Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoperative vital signs for postoperative healthcare-ass...
To increase agriculture production, accurate and fast detection of plant disease is required. Expert advice is needed to detect disease in plants, nut...