Primary Care

Exercise & Fitness

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

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Clinical research and trials in echocardiography: rationale, requirements and future opportunities.

Echocardiography has established itself as a vital component in the diagnosis and management of card...

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of t...

METS-VF as a novel predictor of gallstones in U.S. adults: a cross-sectional analysis (NHANES 2017-2020).

BACKGROUND AND AIMS: Obesity is a well-established risk factor for gallstone formation, but traditio...

Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.

Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting chil...

AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity.

Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a ...

Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches.

Liquefaction is a phenomenon that occurs when there is a loss of strength in wet and cohesionless so...

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruc...

Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network.

This study explores the impact mechanism of college students' sports behavior on their well-being by...

An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via F-FDG PET/CT: a multicenter study.

PURPOSE: Accurate identification of bone marrow invasion (BMI) is critical for determining the progn...

A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

This study aimed to predict the likelihood of natural conception among couples by using a machine le...

AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors.

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessmen...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Predicting time-to-first cancer diagnosis across multiple cancer types.

Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diag...

Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos.

Concussions present a significant risk to athletes, with females exhibiting higher rates and prolong...

AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view.

This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique ...

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