Primary Care

Obesity

Latest AI and machine learning research in obesity for healthcare professionals.

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Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.

INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world applica...

Liver Damage Is Related to the Degree of Being Underweight in Anorexia Nervosa and Improves Rapidly with Weight Gain.

Background: The present study investigates the relationship between hypertransaminasemia and malnutr...

Machine Learning in Health Promotion and Behavioral Change: Scoping Review.

BACKGROUND: Despite health behavioral change interventions targeting modifiable lifestyle factors un...

Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach.

BACKGROUND: Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations i...

Facilitating clinical research through automation: Combining optical character recognition with natural language processing.

BACKGROUND/AIMS: Performance status is crucial for most clinical research, as an eligibility criteri...

Obesity and individual performance: the case of eSports.

BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in th...

Predicting risk of overweight or obesity in Chinese preschool-aged children using artificial intelligence techniques.

OBJECTIVES: We adopted the machine-learning algorithms and deep-learning sequential model to determi...

Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage.

Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...

Implementation of a Heart Disease Risk Prediction Model Using Machine Learning.

Cardiovascular disease prediction aids practitioners in making more accurate health decisions for th...

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images.

Recent years have witnessed wider prevalence of vertebral column pathologies due to lifestyle change...

FAIR data enabling new horizons for materials research.

The prosperity and lifestyle of our society are very much governed by achievements in condensed matt...

Soft pneumatic actuators for mimicking multi-axial femoropopliteal artery mechanobiology.

Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platf...

Robotic CME in obese patients: advantage of robotic ultrasound scan for vascular dissection.

Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefit...

Effectiveness of English Online Learning Based on Deep Learning.

With the popularization of the Internet lifestyle and the innovation of learning methods, more and m...

Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning.

Background CT biomarkers both inside and outside the pancreas can potentially be used to diagnose ty...

AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed Tomography.

(1) To investigate whether interventional cone-beam computed tomography (cbCT) could benefit from AI...

Yoga Pose Estimation and Feedback Generation Using Deep Learning.

Yoga is a 5000-year-old practice developed in ancient India by the Indus-Sarasvati civilization. The...

A Study on the Relationship Between Adolescent Health Behavior, BMI, and Blood Physical and Chemical Properties.

In this study, the blood test index, demographic data, and health promotion behavior of adolescents ...

A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task.

BACKGROUND: Controlling the trajectory of a neuroprosthesis to reach distant targets is a commonly u...

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