Primary Care

Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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[Robot-assisted choledochal cyst resection in a child].

The generally accepted method for choledochal cysts is total resection of cystic extrahepatic bile d...

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.

In the last decades, a great amount of work has been done in predictive modeling of issues related t...

[Application and prospect of digital technology on personalized precision nutrition].

Nowadays in China, digital technology is sweeping all walks of life. To deal with the increasing inc...

Artificial intelligence in food science and nutrition: a narrative review.

In the late 2010s, artificial intelligence (AI) technologies became complementary to the research ar...

Designing a Social Robot Companion to Support Homecare: Usability Results.

Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can...

ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

The field of animal science, and especially animal nutrition, relies heavily on modeling to accompli...

Antegrade Colonic Enema Channels in Pediatric Patients Using Appendix or Cecal Flap: A Comparative Robotic Open Series.

We present perioperative outcomes of a single-center experience with robot-assisted antegrade colon...

[New definition of precision nutrition: concept and implementation].

The following 10 to 15 years will be a key strategic period for China to improve national nutrition ...

[Deep Learning-based Risk Prediction Model for Postoperative Healthcare-associated Infections].

Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoper...

Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arte...

Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images.

The umbilical cord is an organ that circulates oxygen and nutrition from mother to fetus during preg...

Robot-Assisted Total Laparoscopic Hysterectomy in Different Classes of Obesity: A Cohort Study.

BACKGROUND AND OBJECTIVES: Robot-assisted laparoscopic hysterectomy is a safe and feasible approach ...

Different stages of disease detection in squash plant based on machine learning.

To increase agriculture production, accurate and fast detection of plant disease is required. Expert...

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

To establish vitamin D classification models for Chinese elderly using machine learning techniques....

Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...

phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data.

MOTIVATION: Research shows that human microbiome is highly dynamic on longitudinal timescales, chang...

Obesity as a Risk Factor for Accelerated Brain Ageing in First-Episode Psychosis-A Longitudinal Study.

BACKGROUND: Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosi...

Joint Associations of Multiple Dietary Components With Cardiovascular Disease Risk: A Machine-Learning Approach.

The human diet consists of a complex mixture of components. To realistically assess dietary impacts ...

Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.

The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex...

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