Latest AI and machine learning research in us health policy for healthcare professionals.
As generative artificial intelligence (GAI) becomes embedded in sport and health management, GAI fitness assistants can generate and iteratively refine training plans through conversational interactions; however, their adoption remains shaped by users' trade-offs between perceived quality and risk. Drawing on the Information Systems Success Model and the Theory of Planned Behavior (TPB), and incor...
BACKGROUND: Patients with aortic stenosis (AS) often have concomitant coronary artery disease (CAD), and coronary CTA (CCTA) is performed for anatomical evaluation to inform coronary revascularization decision-making prior to aortic valve replacement (AVR). However, the role of coronary hemodynamic assessment in pre-AVR is not well established. We aim to evaluate the prognostic value of preoperati...
PURPOSE: To examine the impact of artificial intelligence (AI) on radiologists' workload and economic outcomes by synthesizing current evidence on wor...
PURPOSE: Cognitive motor dissociation (CMD) is associated with long-term recovery in acute brain injury, but CMD testing is only available in few cent...
Clinical laboratory medicine faces converging structural pressures: workforce shortages, growing data complexity, and rapid advances in artificial int...
BACKGROUND: Reproducibility and cross-species translation using the domestic pig (Sus scrofa) are limited by the lack of a standardised molecular fram...
Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric...
OBJECTIVES: This study aimed to systematically evaluate whether glycemic variability (GV) could provide independent incremental prognostic value for i...
BACKGROUND: Prompt diagnosis of bloodstream infections (BSIs) is critical for antimicrobial stewardship but hindered by blood culture delays of 48Â h o...
Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality resulting in characteristic changes in cardiac st...
PURPOSE: Evaluate a deep learning model's performance as a pre-referral filter for referable glaucoma using colour fundus photographs. METHODS: Retros...
PURPOSE: To evaluate the diagnostic performance of a general-purpose vision-language model (GPT-4o) in interpreting gonioscopic images of the anterior...
Undergraduate science courses are in urgent need of increased retention and recruitment of underrepresented minority (URM) college students. There is ...
Amid the progression of an aging society, it is essential to develop a long-term predictive model capable of distinguishing between older adults with ...
ST-segment elevation myocardial infarction (STEMI) patients remain at substantial risk for major adverse cardiovascular events (MACE) following emerge...
The pursuit of carbon neutrality in China demands a rapid, spatially informed scale-up of renewable energy, including biomass, yet high-resolution, po...
In patients with hematological disorders, the high risk of complex infections caused by immune dysfunction and intensive therapies poses a major chall...
BACKGROUND: Identifying older home care recipients at risk of institutionalization in advance is crucial for providing preventive services. Supporting...
Generative artificial intelligence (GenAI) is increasingly used by medical and health profession students. Despite this trend, most existing evidence ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent yet often underdiagnosed or undertreated in primary care due to a...