Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Language acquisition in second language (L2) writing requires learners to constantly regulate their emotions and motivation as they plan, draft, and revise text. Although previous research has established the salience of these affective processes, most investigations are based on retrospective self-reports that mask their temporal dynamics. This paper proposes MultiSense-L2Net, a novel AI-mediated...
In this work, the intelligent Levenberg-Marquardt optimization approach is applied to evaluate the activation energy influence on thermo-bioconvection flow of a trihybrid nanofluid including oxytactic microbes via a plate using integrated numerical computation. This idea is frequently applied in industrial and bioengineering operations where complicated fluid conditions and microbial activity inte...
New obesity medications have demonstrated efficacy in trials, but their real-world deployment is partly limited by the absence of approaches that iden...
Regular physical training is essential for maintaining physical fitness in environments where exercise must be performed in limited space and without ...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing global health burden, while reliable non-invasive biom...
BACKGROUND: Veterans face an increased risk of common mental disorders when compared to civilian groups. However, veteran disengagement from treatment...
Flexible wearable devices have attracted widespread attention in digital healthcare and personalized medicine driven by the growing demand for health ...
Accuracy and duration of ocular pursuit of a target object have been linked to interceptive performance. Yet, previous assessments have not examined t...
Female breast cancer patients remain at risk of developing additional primary cancers even following surgical treatment. Second primary thyroid cancer...
OBJECTIVES: This study aimed to construct and verify machine learning (ML) models to predict long-term abdominal obesity (AO) risk in children and ado...
CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, an...
BACKGROUND: Accurate preoperative estimation of liposuction volume is essential for achieving optimal aesthetic outcomes and minimizing surgical compl...
OBJECTIVE: Traditional readmission risk models relying on static discharge data have limited predictive performance and fail to capture patients' reco...
BACKGROUND: Accurate preoperative assessment of the WHO/ISUP nuclear grade of clear cell renal cell carcinoma (ccRCC) is critical for guiding individu...
BACKGROUND: Peak oxygen consumption (peak VO2), the gold standard measure of cardiorespiratory fitness, may identify women at high risk for pregnancy-...
UNLABELLED: This study aims to evaluate the reliability, quality, and readability of ChatGPT-4's responses to questions about cerebral palsy (CP) and ...
Schizophrenia remains diagnosed primarily through clinical assessment, which motivates the researchers to search for quantifiable digital phenotypes. ...
OBJECTIVE: This study aims to develop a predictive model to estimate the likelihood of achieving a sufficient fetal fraction (FF) for non-invasive pre...
Brain-machine interfaces (BMIs), which serve as revolutionary tools for neural recording, modulation, and rehabilitation, are highly dependent on the ...