Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Risk factors of osteoporosis in soldiers of the Armed Forces: A cross-sectional study from Western India.

BACKGROUND: Osteoporosis may result from risk factors such as smoking, alcohol, low body mass index,...

Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and Older.

BACKGROUND: The World Health Organization has recently updated exercise guidelines for people aged >...

Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.

Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantifi...

Feature selection for unsupervised machine learning of accelerometer data physical activity clusters - A systematic review.

BACKGROUND: Identifying clusters of physical activity (PA) from accelerometer data is important to i...

Estimated Artificial Neural Network Modeling of Maximal Oxygen Uptake Based on Multistage 10-m Shuttle Run Test in Healthy Adults.

We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (...

Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis.

Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (...

Natural language processing for the assessment of cardiovascular disease comorbidities: The cardio-Canary comorbidity project.

OBJECTIVE: Accurate ascertainment of comorbidities is paramount in clinical research. While manual a...

Robotic versus laparoscopic right hemicolectomy: a case-matched study.

The current gold standard surgical treatment for right colonic malignancy is the laparoscopic right ...

LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices.

The penetration of wearable devices in our daily lives is unstoppable. Although they are very popula...

PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation.

Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multi...

Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models.

Type 1 diabetes is a chronic disease caused by the inability of the pancreas to produce insulin. Pat...

Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network.

The use of artificial intelligence technology to analyze human behavior is one of the key research t...

Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network.

In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviati...

Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead.

Artificial Intelligence (AI) has played a substantial role in the response to the challenges posed b...

PyPEF-An Integrated Framework for Data-Driven Protein Engineering.

Data-driven strategies are gaining increased attention in protein engineering due to recent advances...

Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study.

BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classifi...

Design and Implementation of Human Motion Recognition Information Processing System Based on LSTM Recurrent Neural Network Algorithm.

With the comprehensive development of national fitness, men, women, young, and old in China have joi...

Targeted muscle effort distribution with exercise robots: Trajectory and resistance effects.

The objective of this work is to relate muscle effort distributions to the trajectory and resistance...

Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.

We aimed to establish and validate a risk assessment system that combines demographic and clinical ...

A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme.

Find the global optimal solution of the model is one promising research topic in computational intel...

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