CONCLUSIONS: We found each component of the multifaceted ASI and its implementation to have added value in the process to improve antibiotic prescribing for suspected UTIs in a heterogeneous older adult care setting. We recommend using a multifaceted, multidisciplinary approach that enables HCPs to reflect on their current practice and accordingly tailor local implementation. →
CONCLUSIONS: The study demonstrated that a formalized educational program improved knowledge of the physical exam of the TMJ in JIA. Learners viewing the module were more adept at obtaining quantitative TMJ measurements. →
BACKGROUND: Lung cancer screening (LCS) can reduce lung cancer mortality but has potential harms for patients. A shared decision-making (SDM) conversation about LCS is required by the Centers for Medicare & Medicaid Services (CMS) for LCS reimbursement. To overcome barriers to SDM in primary care, this protocol describes a telehealth decision coaching and navigation intervention… →
CONCLUSIONS: Home-based respiratory and chest mobility exercise could be an adjunct to cardiac rehabilitation in long COVID with cardiovascular comorbidities for improving cardiorespiratory functional capacity. →
CONCLUSION: In the absence of weight loss, a low carbohydrate ketogenic diet has no beneficial effect on glucose tolerance, insulin sensitivity, or other metabolic parameters. →
CONCLUSIONS: The phase 2 ReGenHeart trial will provide knowledge of the safety and efficacy of AdVEGF-D GT to ameliorate symptoms in refractory angina patients, extending and further testing positive results from the preceding phase 1/2a trial. →
The rise of Transformer-based models has significantly advanced the field of natural language processing. However, the training of these models is often computationally intensive, requiring substantial resources and time. This research addresses the issue of improving the training efficiency of Transformer models without compromising their performance. Specifically, it seeks to explore whether the benefits of… →
Bayesian Optimization, widely used in experimental design and black-box optimization, traditionally relies on regression models for predicting the performance of solutions within fixed search spaces. However, many regression methods are task-specific due to modeling assumptions and input constraints. This issue is especially prevalent in learning-based regression, which depends on fixed-length tensor inputs. Recent advancements in… →
INTRODUCTION: To explore the construction of a diagnostic prediction model of diabetic nephropathy (DN) in type 2 diabetic patients for prognostic risk prediction and observe the therapeutic effect of Epalrestat combined with Dapagliflozin on DN. →
AI has significantly impacted healthcare, particularly in disease diagnosis and treatment planning. One area gaining attention is the development of Medical Large Vision-Language Models (Med-LVLMs), which combine visual and textual data for advanced diagnostic tools. These models have shown great potential for improving the analysis of complex medical images, offering interactive and intelligent responses that… →