Application of artificial intelligence in heart diseases: A bibliometrics review based on CiteSpace analysis DOI Open Access
Qian Xu

Academic Journal of Medicine & Health Sciences, Journal Year: 2023, Volume and Issue: 4(12)

Published: Jan. 1, 2023

This study analyzes the research status and trends concerning global application of AI in heart diseases within past 36 years, to aid researchers navigate more studies future. We acquired publications from 1986–2021 PubMed using terms Medical Subject Headings (MeSH) thesaurus. Subsequently, we filtered type language Web Science analyzed data for descriptive statistics, fitting curves, CiteSpace visualization analysis.A total 2038 records related were imported into CiteSpace. There has been a growing number over years roughly. Two author clusters focused on clinical practice data-driven medicine.And USA produced most academic achievements with high impact. Machine learning, neural network, classification, diagnosis, failure, atrial fibrillation, myocardial infarction have become principal hotspots recent years. Generally, techniques are increasingly applied areas ranging medical practice-related robotics-assist. Compared conventional approaches, outperforming surgery operation, identification, detection, prediction, risk stratification. It potential make healthcare feasible, safe, accessible.

Language: Английский

Research status, trends, and mechanisms of biochar adsorption for wastewater treatment: a scientometric review DOI Creative Commons
Yuyao Wang, Liang Chen, Yuanrong Zhu

et al.

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: Feb. 12, 2024

Abstract In the last decade, biochar application research has emerged as a hot topic in water treatment studies, which made adsorption one of primary wastewater strategies. This paper presents global bibliometric analysis 2673 publications from Web Science database, spanning 2011–2022. For comprehensive understanding status and trends for treatment, advanced quantitative visual tools (i.e., CiteSpace ArcGIS) were employed. The results showed that China leading country with most published articles. key area is on magnetic wastewater. articles summarized review demonstrated unequivocally can treat wide range even though mechanisms heavy metals, inorganic salts organic pollutants are not entirely consistent. further analyzes factors affecting performance adsorbing improvement measures functional characteristics, proposing future directions focusing capacity products. information synthesis discussion would provide valuable insights historical, current, research, beneficial to solve practical problems pollution improve quality environment.

Language: Английский

Citations

37
AI adoption, ESG disclosure quality and sustainability committee heterogeneity: evidence from Chinese companies DOI
Khwaja Naveed, Muhammad Bilal Farooq, Muhammad Kaleem Zahir‐ul‐Hassan

et al.

Meditari Accountancy Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Purpose The purpose of this study is to examine the impact adopting artificial intelligence (AI) on quality corporate sustainability reporting. role committees, including specialist environmental, social and governance (ESG) in moderating dynamic also examined. Design/methodology/approach Regression analysis used analyze ESG/sustainability disclosures listed Chinese companies from 2015 2022. Robustness ensured through fixed effects analysis, while endogeneity concerns are addressed using one-year lagged measures three-stage least squares (3SLS) approach. Sustainability committees categorized based their ESG specific focus areas, aligned with corresponding disclosure pillars. In addition, for pillar, extended by segmenting sample state ownership status. Stakeholder theory capability view frame analysis. Findings results reveal that AI adoption enhances overall reporting pillar-specific quality. This positive effect amplified presence committees. Examining heterogeneous these revealed stronger associations between committee specialization relevant pillar (except governance), suggesting use can improve outcomes. Notably, within non-state-owned enterprises, governance-focused positively moderate AI−disclosure relationship, highlighting a nuanced structure. Practical implications findings offer empirical support leverage finds evidence creation as key mechanism drive improvements relating research indicates over remains poor will require additional regulatory effort encourage entities provide higher governance-related disclosures. terms structure, found enterprises more efficient Social highlight potential supporting high-quality strategic dynamic. publication reports critical meeting stakeholder demands transparency accountability sustainability. Originality/value insights into AI’s By examining goes beyond general exploring how mechanisms relationship. unique data highlights differences state-owned latter exhibiting greater improving

Language: Английский

Citations

1
Visual Detection of COVID-19 from Materials Aspect DOI Open Access
Gang Wang, Le Wang, Zheyi Meng

et al.

Advanced Fiber Materials, Journal Year: 2022, Volume and Issue: 4(6), P. 1304 - 1333

Published: Aug. 8, 2022

Language: Английский

Citations

22
Comprehensive applications of the artificial intelligence technology in new drug research and development DOI
Hongyu Chen,

Dong Xin Lu,

Ziyi Xiao

et al.

Health Information Science and Systems, Journal Year: 2024, Volume and Issue: 12(1)

Published: Aug. 8, 2024

Language: Английский

Citations

4
An Innovative Approach to AI-Based Automated Knowledge Mapping for English Teaching Resource Construction DOI Open Access
Yuqing Ge

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract This study proposes automated knowledge graph-driven English teaching resources construction for the current problems in colleges and universities. The article uses Scrapy to collect data from network, then filters out complete usable after cleaning data. After that, a combination of “top-down” “bottom-up” methods is used construct graph resources. In order improve level intelligent digital development resources, four practical application paths are pointed out. scale test independent sample t-test evaluate effect map. Based on P-value practice evaluation indexes, it can be seen that there significant positive correlation between values indexes (knowledge skills P=0.047, learning attitudes P=0.033, P=0.021) before intervention experimental group, while opposite control which indicates integrating mapping more conducive innovative teaching.

Language: Английский

Citations

0
Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB DOI Open Access
Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi

et al.

Healthcare, Journal Year: 2023, Volume and Issue: 11(12), P. 1762 - 1762

Published: June 15, 2023

Electronic health records (EHRs) are an increasingly important source of information for healthcare professionals and researchers. However, EHRs often fragmented, unstructured, difficult to analyze due the heterogeneity data sources sheer volume information. Knowledge graphs have emerged as a powerful tool capturing representing complex relationships within large datasets. In this study, we explore use knowledge capture represent EHRs. Specifically, address following research question: Can graph created using MIMIC III dataset GraphDB effectively semantic enable more efficient accurate analysis? We map ontology text refinement Protege; then, create SPARQL queries retrieve from graph. Our results demonstrate that can EHRs, enabling analysis. provide examples how our implementation be used patient outcomes identify potential risk factors. effective provides valuable insights into factors, contributing growing body literature on in healthcare. particular, study highlights support decision-making improve by comprehensive holistic analysis EHR data. Overall, contributes better understanding value lays foundation further area.

Language: Английский

Citations

9
A Bibliometric Analysis of Personal Protective Equipment and COVID-19 Researches DOI Creative Commons
Yu Zhang, Man Hu, Junwu Wang

et al.

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: April 29, 2022

COVID-19, which occurred at the end of December 2019, has evolved into a global public health threat and affects every aspect human life. COVID-19's high infectivity mortality prompted governments scientific community to respond quickly pandemic outbreak. The application personal protective equipment (PPE) is great significance in overcoming epidemic situation. Since discovery severe acute respiratory coronavirus 2 (SARS-CoV-2), bibliometric analysis been widely used many aspects COVID-19 epidemic. Although there are reported studies about PPE no study on these studies. citation can be as an indicator influence article its field. aim this was track research trends latest hotspots by means bibliometrics visualization maps.

Language: Английский

Citations

11
Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data DOI Creative Commons
Amit K. Shukla, Taniya Seth, Pranab K. Muhuri

et al.

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 82(21), P. 32755 - 32787

Published: March 2, 2023

Abstract With the spread of deadly coronavirus disease throughout geographies globe, expertise from every field has been sought to fight impact virus. The use Artificial Intelligence (AI), especially, center attention due its capability produce trustworthy results in a reasonable time. As result, AI centric based research on (or COVID-19) receiving growing different domains ranging medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors pandemic global activities related exclusively AI. In article, we highly informative insights pertaining publications, such as best articles, areas, most productive influential journals, authors, institutions. Studies are made top 50 cited articles identify subcategories. also outcome geographic areas while identifying collaborations have had an impact. This compares countries around globe produces same.

Language: Английский

Citations

3
Ethical Considerations on Some Issues of Medical Artificial Intelligence Applications DOI Creative Commons
Hong Guo

Journal of Internal Medicine and Emergency Research, Journal Year: 2022, Volume and Issue: unknown

Published: Oct. 10, 2022

Artificial intelligence has been widely applied in the medical field recently, such as imaging, pathological diagnosis, mental health, rehabilitation medicine, and home health support have progressed, which also triggered extensive ethical thinking. Under perspective of ethics, this paper explores controversial status moral subjects AI machines, definition multiple relationships arising from machine use, value judgments trust considerations technologies, data accessibility privacy protection. It further points out potential injustice, discrimination risk liability AI, calls for establishment an review collaborative governance mechanism that is deeply integrated with technology.

Language: Английский

Citations

3
A visualized and bibliometric analysis of cancer vocational rehabilitation research using CiteSpace DOI

Zebing Luo,

Xuejia Liu,

Chujun Chen

et al.

Work, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Aug. 31, 2024

BACKGROUND: There are numerous publications on cancer vocational rehabilitation, visual techniques can help medical researchers and social workers be more familiar with the state of this field. OBJECTIVE: To summarize rehabilitation research, we applied visualized bibliometric analysis to enable identify evolving patterns knowledge among articles research trends, understand current status cancer, carry out further hot topics. METHODS: Based a review 933 papers published in Web Science Core Collection, study used Citespace software systematically objectively describe rehabilitation. RESULTS: Since 2003, field began sprout. The most cited country, institution, author journal were United States, University Amsterdam, Angela G. E. M. de Boer, Psycho-Oncology, respectively. three frequently keywords breast quality life survivor. largest spike citations cohort, absence symptom. Conducting randomized controlled trials or prospective cohort studies survivors return work, using qualitative methods experiences perceptions staff hotspots CONCLUSIONS: Cancer has attracted attention all over world. Future may focus other types explore high interventions.

Language: Английский

Citations

0