The color of skin lesions is a crucial diagnostic feature for identifying malignant melanoma and other skin diseases. Typical colors associated with melanocytic lesions include tan, brown, black, red, white, and blue-gray. This study introduces a nov...
OBJECTIVE: To evaluate the effectiveness of Monocyte Distribution Width (MDW) in predicting sepsis outcomes in emergency department (ED) patients compared to other hematologic parameters and vital signs, and to determine whether routine parameters co...
Environmental science and pollution research international
Oct 12, 2024
This study represents a pioneering effort to integrate geographic information systems (GIS) and ensemble machine learning methods to predict noise levels on a university campus. Three ensemble models including random forest (RF), gradient boosting (G...
Environmental science and pollution research international
Oct 12, 2024
Evaluation of the heterogeneous treatment effect (HTE) allows for the assessment of the causal effect of a therapy or intervention while considering heterogeneity in individual factors within a population. Machine learning (ML) methods have previousl...
Portuguese journal of cardiac thoracic and vascular surgery
Oct 12, 2024
INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degenerative disease, commonly described as atherosclerotic plaque accumulation, significantly contributes to this, posing a risk for cerebrovascular events...
To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leadership, and healthcare outcomes. AI represents a significant transformation in healthcare management by enhancing decision-making, communication, and r...
Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, experiencing more severe pain, and suffering greater pain-related disability. However, SEP is a multidimensional construct; there is a dearth of research...
Archives of physical medicine and rehabilitation
Oct 11, 2024
OBJECTIVE: To examine robotic interventions for upper limb rehabilitation poststroke, focusing on geographic distribution, stroke chronicity, outcome measures, outcomes of robotic interventions, and publication trends in low- and middle-income countr...
PURPOSE: This study aimed to explore the perspectives and experiences of healthcare academics regarding the impact of ChatGPT, an artificial intelligence (AI)-supported language model, on education and research.
PURPOSE: We aimed to use a validated artificial intelligence (AI) algorithm to extract muscle and adipose areas from CT images before radical cystectomy (RCx) and then correlate these measures with 90-day post-RCx complications.
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