AIMC Topic: Bibliometrics

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Global research trends in AI-assisted blood glucose management: a bibliometric study.

Frontiers in endocrinology
BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes care, leveraging technologies like continuous glucose monitoring (CGM) and predictive models. A comprehensive bibliometric analysis is needed to unders...

A scientometric analysis of machine learning in schizophrenia neuroimaging: Trends and insights (2012-2024).

Journal of affective disorders
Machine learning applications in schizophrenia neuroimaging research have undergone significant evolution since 2012. However, a comprehensive scientometric analysis of this field has not yet been conducted. This study analyzed 315 original research ...

Emerging research themes in ferroptosis research for non-small cell lung cancer: a bibliometric and visualized analysis.

Frontiers in immunology
BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant attention as a potential therapeutic target in oncology due to its unique mechanism involving lipid peroxidation and reactive oxygen species accumulatio...

Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research.

F1000Research
BACKGROUND: This study intends to investigate the relationship between artificial intelligence and teachers' collaboration in educational research in response to the growing use of technologies and the current status of the field.

Artificial intelligence in autoimmune diseases: a bibliometric exploration of the past two decades.

Frontiers in immunology
OBJECTIVE: Autoimmune diseases have long been recognized for their intricate nature and elusive mechanisms, presenting significant challenges in both diagnosis and treatment. The advent of artificial intelligence technology has opened up new possibil...

Intelligent Care: A Scientometric Analysis of Artificial Intelligence in Precision Medicine.

Medical sciences (Basel, Switzerland)
The integration of advanced computational methods into precision medicine represents a transformative advancement in healthcare, enabling highly personalized treatment strategies based on individual genetic, environmental, and lifestyle factors. Thes...

Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives.

International journal of biometeorology
Agricultural research has consistently progressed through the integration of advanced technologies into farming systems. A significant paradigm shift in agricultural production system research has occurred with the development of simulation models, m...

AIAIAI: AI insights on amassing influence in AI-related publications - an AI-assisted retrospective analysis into AI-related publication.

BMJ health & care informatics
OBJECTIVES: This study analyses the trend of artificial intelligence (AI)-related publications in the medical field over the past decade and demonstrates the potential of AI in automating data analysis. We hypothesise exponential growth in AI-related...

Patterns and Trends in Global Nursing Robotics Research: A Bibliometric Study.

Journal of nursing management
The present study aimed to investigate the trends and research status of global nursing robot research. The global aging population has intensified the demand for caregiving services, highlighting the need for innovative solutions like nursing robo...

Bibliometric and LDA analysis of acute rejection in liver transplantation: Emerging trends, immunotherapy challenges, and the role of artificial intelligence.

Cell transplantation
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become increasingly diverse, yet no consensus has been reached. This study presents a bibliometric and latent Dirichlet allocation (LDA) topic modeling analys...