Latest AI and machine learning research in exercise & fitness for healthcare professionals.
PURPOSE: To evaluate the performance of ChatGPT on the National Prosthodontics Resident Exam (NPRE). METHODS: Two separate OpenAI accounts were used for ChatGPT 3.5 and ChatGPT 4.0, each managed by independent examiners. The dataset was sourced from the American College of Prosthodontics (ACP) 2024 National Prosthodontics Resident Exam (NPRE), which includes 150 multiple-choice board-style questio...
OBJECTIVE: To assess the accuracy and reliability of an artificial intelligence (AI) chatbot (ChatGPT) in providing answers about exercise recommendations for breast cancer survivors. DESIGN: Cross-sectional study. METHODS: We extracted recommendations from recent systematic reviews of clinical practice guidelines (CPGs) on therapeutic physical exercise in breast cancer survivors. Clinical questio...
OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to deve...
This study developed an artificial neural network (ANN) model to predict the 1,4-dioxane removal efficiency from hazardous landfill leachate treated b...
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose,...
Lactate dehydrogenase A (LDHA) is a promising target for cancer therapy due to its crucial role in aerobic glycolysis. Despite extensive efforts, the ...
In the municipal wastewater treatment plants (MWWTPs), significant fluctuations in flow rate result in time delays and non-uniform distribution, makin...
Concussions present a significant risk to athletes, with females exhibiting higher rates and prolonged recovery times than males. Current sideline con...
Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critic...
This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique view and Monte Carlo (MC) validated dose point ker...
Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts liver-related outcomes. Serum and elastography-base...
This study investigates the influence of generative artificial intelligence (GAI) on university students' learning outcomes, employing a technology-me...
This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on basketball, by integrating artificial intelligence (AI...
Targeted muscle reinnervation (TMR) was initially developed as a technique for bionic prosthetic control but has since become a widely adopted strateg...
MOTIVATION: Accurate prediction of single-guide RNA (sgRNA) activity is crucial for optimizing the CRISPR/Cas9 gene-editing system, as it directly inf...
PURPOSE: Few studies have explored whether accelerometer-measured sedentary behavior increases cancer risk. We examined the associations of accelerome...
Knee injuries are common in several people, frequently controlling for significant injuries and health care costs. This article explains the role of p...
Recent studies have revealed that polyclonality-where multiple distinct subclones cooperate during early tumor development-is a critical feature of tu...
Physical inactivity is a global health issue contributing to chronic conditions like obesity and cardiovascular diseases, with regular exercise often ...
BACKGROUND: Since the discovery of the life-saving hormone insulin in 1921 by Dr Frederick Banting in 1921, there have been many critical discoveries ...