1,876 research outputs found
Information Literacy and Librarian-Faculty Collaboration: A Model for Success:
No full textIn the age of information explosion and technological advancement, issues of information storage, organization, access, and evaluation have become necessarily important in our societies. Addressing issues of information literacy and designing how they can be best integrated in students' learning process are of critical importance. Library professionals in the United States, particularly in the academia, have realized the importance of information literacy and have attempted in various ways to address these issues. The ultimate goal is to make information literacy an integral part of the academic curriculum, thus helping students to succeed not only during their years in college but also for their lifelong career choices. This article will look at ways of how information literacy can best be incorporated into students' academic experience, and how this process can make students' learning meaningful and successful. Specifically, the author will examine the model of librarian-faculty collaboration in integrating information literacy into the curriculum, as demonstrated in the Ohio Five Colleges' Information Literacy Program.Publisher version of this article is available at: http://www.white-clouds.com/iclc/cliej/cl24.ht
Novel Approaches in Cardiovascular Diagnostics:Mapping the Research Landscape of the 21st Century
No full textThis chapter provides a comprehensive scientometric analysis of novel approaches in cardiovascular diagnostics from 2000 to 2024. The study leverages advanced bibliometric tools to examine the evolution of key technologies, including artificial intelligence (AI), computational fluid dynamics, data fusion, genetic biomarkers, imaging technologies, nanodiagnosis, and wearables. Bespoke datasets are created using Dimensions and Altmetric data, as well Google Cloud products, to analyse publication trends, clinical trials, patent activity, and policy citations, amongst others. Key findings highlight the dominance of imaging technologies’ research volume, reflecting their central role in cardiovascular diagnostics. AI and genetic biomarkers are rapidly growing fields, enhancing diagnostic precision and personalised care. Emerging technologies like wearables and nanodiagnosis show promise for continuous monitoring and early detection. The chapter also explores the impact of COVID-19 on accelerating research, the shift towards AI and data-driven diagnostics, and the global contributions to cardiovascular research. The analysis of patent and policy citations underscores the real-world impact of these technologies, with imaging and genetic biomarkers leading in policy/clinical guidelines integration
Diagnosis and Treatment of Acute Ischemic Stroke Using Modern Neuroimaging and Artificial Intelligence
No full textThe early diagnosis and personalized treatment of acute ischemic stroke (AIS) are unmet clinical challenges. The recent development of neuroimaging technologies provides more in-depth information on brain circulation that can be used for the clinical management of AIS. Artificial intelligence (AI), including machine learning and deep learning models, enables the data-driven early diagnosis of AIS. Radiomic analysis can extract AIS-associated deep features from neuroimaging data. The fusion of multimodal data further enhances the diagnostic power of AI models. Meanwhile, many AI models are limited by the sample size with a lack of validation on big data. This chapter provides an updated review on recent works and summarizes the advantages and challenges of AI models based on neuroimaging data in the diagnosis of treatment of AIS, offering a reference for clinicians, data scientists, and biomedical engineers
Applications of Artificial Intelligence in Coronary Computed Tomography Angiography:Progress and Challenges
No full textCCTA (coronary computed tomography angiography) is an important tool for evaluating patients with suspected stable coronary artery disease. Recently, the development of artificial intelligence (AI), including machine learning in data analytics and deep learning in image processing, is reshaping the landscape of CCTA in clinical practice. The noise, radiation dose, and motion artifacts have been largely reduced. More advanced algorithms have been proposed for geometric construction, including image segmentation and centerline extraction. Based on the improved image quality, the assessment of different components (calcification, plaque, stenosis, myocardium, and pericardial fat) has achieved higher accuracy. Computational simulation can estimate hemodynamic parameters like fractional flow reserve. These new applications enable clinicians to improve the accuracy of diagnosis and treatment of coronary artery disease. This chapter summarizes the state-of-the-art methods of AI in CCTA, providing an updated reference for biomedical engineers, health professionals, and policymakers
Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease
No full textCerebral small vessel disease (CSVD) involves pathophysiological changes in the function and anatomy of the brain that affect its activity. Electroencephalogram (EEG) signals reflect the electrophysical activities of the brain and can be non-invasively measured with wearable devices. EEG has been used in the detection of CSVD-related cognitive impairment. Recently, development of artificial intelligence (AI) technologies provides new potential for EEG-enhanced diagnosis of CSVD. In this chapter, we review the state of the art and summarize the recent advancements as well as limitations to provide future directions for the EEG-based detection of CSVD. This chapter provides a reference for clinicians, physiologists, and biomedical engineers
The phylogenetic status of Limnonectes liui (Yang, 1983) (Anura: Dicroglossidae based on mitochondrial genes and its taxonomic implications
No full textHuang, Jiayue, Li, Zheng, Liu, Xiaolong, Stuart, Bryan L., Yuan, Zhiyong, Zhao, Haipeng (2022): The phylogenetic status of Limnonectes liui (Yang, 1983) (Anura: Dicroglossidae based on mitochondrial genes and its taxonomic implications. Zootaxa 5092 (1): 116-126, DOI: https://doi.org/10.11646/zootaxa.5092.1.
Neuroimaging Biomarkers for Diagnosing Cerebral Small Vessel Disease
No full textCerebral small vessel disease (CSVD) is a term that relates to a large number of pathological changes in the microvessels of the brain. With advances in technology in terms of hardware, imaging processing algorithms, and data science, new biomarkers associated with CSVD have been extracted from neuroimaging data. This chapter provides an overview of neuroimaging modalities for CSVD, including computed tomography, magnetic resonance imaging (MRI), diffusion MRI, iron imaging, myelin imaging, cerebrovascular reactivity imaging, and vessel wall imaging. It also discusses existing and emerging or novel biomarkers from the different investigation modalities. We evaluate the diagnostic values of these neuroimaging biomarkers from a clinical perspective and summarize the limitations as well as future directions
Wearable Electrocardiogram Sensors for Home Monitoring of Cardiovascular Diseases
No full textWearable electrocardiogram (ECG) sensors represent a transformative advancement for home-based cardiovascular disease (CVD) monitoring. Traditional in-hospital 12-lead ECG systems, whilst comprehensive, are limited by their need for trained operators, cumbersome setup, and patient immobility, making them impractical for long-term, continuous use. Novel wearable ECG technologies, including wrist-worn monitors, textile-based sensors, and patch-based devices, have emerged to facilitate unobtrusive, real-time monitoring. These devices enhance user comfort, encourage consistent usage, and enable data collection under natural daily conditions. Despite these advancements, wearable ECGs must overcome issues related to motion artefacts, data accuracy, and user comfort during prolonged use. Future research is warranted on integrating artificial intelligence and strengthening security measures to enhance diagnostics, device reliability, and seamless healthcare integration
Myocardial Parameters for Detecting Coronary Microvascular Dysfunction
No full textMyocardial ischemia, a hallmark of coronary artery disease (CAD), is not always caused by the narrowing or blockage of the epicardial coronary arteries. In many patients, coronary microvascular dysfunction (CMD) plays a pivotal role. CMD involves structural and functional abnormalities in the coronary microcirculation that result in insufficient myocardial perfusion, leading to symptoms such as angina and ischemia. Diagnosing and managing CMD is more complex than traditional CAD due to its subtle presentation and the challenges it poses in clinical settings. Therefore, understanding how myocardial parameters influence CMD is crucial for improving patient outcomes and advancing therapeutic strategies
S5 SAH disacharge note final -Supplemental material for The network of Shanghai Stroke Service System (4S): A public health-care web-based database using automatic extraction of electronic medical records
No full textSupplemental material, S5 SAH disacharge note final for The network of Shanghai Stroke Service System (4S): A public health-care web-based database using automatic extraction of electronic medical records by Yi Dong, Kun Fang, Xin Wang, Shengdi Chen, Xueyuan Liu, Yuwu Zhao, Yangtai Guan, Dingfang Cai, Gang Li, Jianmin Liu, Jianren Liu, Jianhua Zhuang, Panshi Wang, Xin Chen, Haipeng Shen, David Z Wang, Ying Xian, Wuwei Feng, Bruce CV Campbell, Mark Parsons and Qiang Dong in International Journal of Stroke</p
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