Results 131 to 140 of about 2,813,972 (229)
In this study, we developed and validated machine learning models to predict in‐hospital mortality in patients with myocardial infarction undergoing PCI, using data from Tehran Heart Center (2011–2020). Our data set included 7422 patients, with 129 cases of in‐hospital mortality, and was built from 41 routinely collected clinical variables.
Hamidreza Soleimani+11 more
wiley +1 more source
Simple and practical tools for screening high-risk new-onset diabetes after percutaneous coronary intervention (PCI) (NODAP) are urgently needed to improve post-PCI prognosis.
Mengmeng Zhu+5 more
doaj +1 more source
Calcified cartilage revealed in whole joint by X-ray phase contrast imaging
Objective: X-ray Phase Contrast Imaging (PCI) is an emerging modality that will be in the next few years available in a wider range of preclinical set-ups.
Ludovic Broche+6 more
doaj
PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation [PDF]
This research introduces the first multimodal approach for pavement condition assessment, providing both quantitative Pavement Condition Index (PCI) predictions and qualitative descriptions. We introduce PaveCap, a novel framework for automated pavement condition assessment. The framework consists of two main parts: a Single-Shot PCI Estimation Network
arxiv
Interpreting Economic Complexity [PDF]
Two network measures known as the Economic Complexity Index (ECI) and Product Complexity Index (PCI) have provided important insights into patterns of economic development. We show that the ECI and PCI are equivalent to a spectral clustering algorithm that partitions a similarity graph into two parts.
arxiv
Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages
Our findings revealed that ST‐T segment parameters were especially significant for diagnosing HCM, with similar weight across the basal and apical subtypes. In contrast, QRS complex parameters were more pertinent for diagnosing dHCM, suggesting a shift in diagnostic emphasis as the disease progresses.
Naomi Hirota+13 more
wiley +1 more source
3D Distance-color-coded Assessment of PCI Stent Apposition via Deep-learning-based Three-dimensional Multi-object Segmentation [PDF]
Coronary artery disease poses a significant global health challenge, often necessitating percutaneous coronary intervention (PCI) with stent implantation. Assessing stent apposition holds pivotal importance in averting and identifying PCI complications that lead to in-stent restenosis.
arxiv
Phase-Sensitive Region-of-Interest Computed Tomography [PDF]
X-Ray Phase-Contrast Imaging (PCI) yields absorption, differential phase, and dark-field images. Computed Tomography (CT) of grating-based PCI can in principle provide high-resolution soft-tissue contrast. Recently, grating-based PCI took several hurdles towards clinical implementation by addressing, for example, acquisition speed, high X-ray energies,
arxiv
Abstract Produced water is a chemically complex waste stream generated during oil and gas development. Roughly four trillion liters were generated onshore in the United States in 2021 (ALL Consulting, 2022, https://www.gwpc.org/wp‐content/uploads/2021/09/2021_Produced_Water_Volumes.pdf). Efforts are underway to expand historic uses of produced water to
Ayusha Ariana+5 more
wiley +1 more source
Abstract Aims Recommendations on the use of newer type 2 diabetes (T2D) treatments (e.g., SGLT2 inhibitors and GLP‐1 receptor agonists [RA]) in contemporary clinical guidelines necessitate a change in how T2D models approach therapy selection and escalation. Dynamic, person‐centric clinical decision‐making considers factors beyond a patient's HbA1c and
Phil McEwan+6 more
wiley +1 more source