AIMC Topic: Bibliometrics

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Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.

Academic radiology
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article fe...

Ultrasound in medicine from 2014 to 2024: A bibliometric review.

Medicine
BACKGROUND: The unique physical properties of ultrasound technology have led to its increasing recognition in recent years, rendering it an indispensable component in the diagnosis and treatment of various medical conditions. The aim of this study is...

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

Human vaccines & immunotherapeutics
With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, their applications in the medical field have expanded significantly. Particularly in vaccine innovation, AI and ML have shown considerable potential. T...

Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions.

Renal failure
Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenges persist in optimizing donor-recipient matching, postoperative care, and immunosuppressive strategies. This study employs bibliometric analysis to ev...

A bibliometric analysis of artificial intelligence in medical education (2015-2025).

Medicine
BACKGROUND: The rapid development of artificial intelligence (AI) technology is profoundly reshaping the medical education model. However, to date, there has been no bibliometric study specifically focusing on AI and medical education.

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 ...

GLOBAL TRENDS IN ARTIFICIAL INTELLIGENCE AND SEPSIS-RELATED RESEARCH: A BIBLIOMETRIC ANALYSIS.

Shock (Augusta, Ga.)
Background: In the field of bibliometrics, although some studies have conducted literature reviews and analyses on sepsis, these studies mainly focus on specific areas or technologies, such as the relationship between the gut microbiome and sepsis, o...

Artificial intelligence applications and aging (1995-2024): Trends, challenges, and future directions in frailty research.

Archives of gerontology and geriatrics
BACKGROUND: Frailty, a significant predictor of adverse health outcomes, has become a focal point of research, particularly with the advent of artificial intelligence (AI) technologies. This study aimed to provide a comprehensive bibliometric analysi...

[Analysis of the global competitive landscape in artificial intelligence medical device research].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
The objective of this study is to map the global scientific competitive landscape in the field of artificial intelligence (AI) medical devices using scientific data. A bibliometric analysis was conducted using the Web of Science Core Collection to ex...

A bibliometric analysis of wearable device research in sleep science: Trends and hotspots.

Medicine
OBJECTIVE: This study aims to examine academic discourse on wearable devices for sleep, evaluating the domain's current landscape and identifying key research foci.