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Bibliometric Insights Into Thromboelastography Research Using PubMed and VOSviewer.
Cureus
December 2024
Department of Anesthesiology, Tata Main Hospital, Jamshedpur, IND.
Thromboelastography (TEG) has evolved from a primarily surgical tool to a key instrument in broader medical fields, including personalized medicine for coagulopathies. The rationale for conducting this bibliometric analysis of TEG is to understand the evolution and current state of research in this critical field. By identifying publication trends, key contributors, and major developments, this study aims to provide valuable insights to guide future research and clinical practices in TEG.
View Article and Find Full Text PDFResearch on the impact of artificial intelligence technology on urban public health resilience.
Front Public Health
January 2025
School of Economics, Liaoning University, Shenyang, China.
Urban public health resilience has become a critical focus in the transition to high-quality development, especially in addressing increasing public health challenges. This study explores the role of artificial intelligence (AI) technology in enhancing urban public health resilience across 284 Chinese cities from 2011 to 2021. Using a comprehensive index based on resistance, recovery, and innovation dimensions, the study quantifies AI technology levels through patent applications and authorizations, further disaggregating these into invention, utility model, and design patents.
View Article and Find Full Text PDFDeep learning models for CT image classification: a comprehensive literature review.
Quant Imaging Med Surg
January 2025
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Background And Objective: Computed tomography (CT) imaging plays a crucial role in the early detection and diagnosis of life-threatening diseases, particularly in respiratory illnesses and oncology. The rapid advancement of deep learning (DL) has revolutionized CT image analysis, enhancing diagnostic accuracy and efficiency. This review explores the impact of advanced DL methodologies in CT imaging, with a particular focus on their applications in coronavirus disease 2019 (COVID-19) detection and lung nodule classification.
View Article and Find Full Text PDF[Integrated Geriatric Healthcare and Related Innovative Models].
Hu Li Za Zhi
February 2025
Department of Gerontological Health Care, College of Nursing, National Taipei University of Nursing and Health Sciences, Taiwan, ROC.
The intensifying trend of population aging has made geriatric healthcare a key concern for countries worldwide. According to the United Nations, the global elderly population is projected to increase to 1.6 billion by 2050 at which time persons above 65 years old are expected to account for 16% of the world's population (United Nations, 2023).
View Article and Find Full Text PDFAtomically resolved imaging of radiation-sensitive metal-organic frameworks via electron ptychography.
Nat Commun
January 2025
Center for Electron Microscopy, South China University of Technology, Guangzhou, China.
Electron ptychography, recognized as an ideal technique for low-dose imaging, consistently achieves deep sub-angstrom resolution at electron doses of several thousand electrons per square angstrom (e/Å) or higher. Despite its proven efficacy, the application of electron ptychography at even lower doses-necessary for materials highly sensitive to electron beams-raises questions regarding its feasibility and the attainable resolution under such stringent conditions. Herein, we demonstrate the implementation of near-atomic-resolution ( ~ 2 Å) electron ptychography reconstruction at electron doses as low as ~100 e/Å, for metal-organic frameworks (MOFs), which are known for their extreme sensitivity.
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