OBJECTIVE: Early assessment and intervention of Acquired Immune Deficiency Syndrome (AIDS) patients at high risk of mortality is critical. This study aims to develop an optimally performing mortality risk prediction model for AIDS patients with comor...
The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical and preclinical studies. Evidence mounted in recent years indicated development of social cognitions was more susceptible to general anesthesia in earl...
British journal of clinical pharmacology
Mar 11, 2025
AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical ...
OBJECTIVE: This study aimed to elucidate the protective effects of Da Cheng Qi Decoction (DCQD) on severe acute pancreatitis (SAP) by targeting ferroptosis in pancreatic acinar cells and to establish a predictive signature and nomogram for acute panc...
INTRODUCTION: Although the enthusiasm for artificial intelligence (AI) to enhance surgical decision-making continues to grow, the preceding advance of risk prediction tools (RPTs) has had limited impact to date. To help inform the development of AI-p...
BACKGROUND: Major Depressive Disorder (MDD) and Bipolar Disorder (BD) exhibit overlapping depressive symptoms, complicating their differentiation in clinical practice. Traditional neuroimaging studies have focused on specific regions of interest, but...
Journal of infection and public health
Mar 11, 2025
BACKGROUND: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negative individuals is increasing. In HIV-negative individuals, talaromycosis is usually misdiagnosed as another disease, especially tuberculosis (TB).
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
BACKGROUND: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predic...
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