AIMC Topic: Bibliometrics

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Wearable technology for cardiovascular disease management: A global bibliometric analysis with emerging insights into artificial intelligence integration.

Computers in biology and medicine
BACKGROUND AND OBJECTIVE: Wearable technology has become increasingly essential in managing cardiovascular disease (CVD), offering innovative solutions for real-time monitoring and personalized care. Artificial intelligence (AI) is playing a growing ...

Research on transcranial magnetic stimulation for stroke rehabilitation: a visual analysis based on CiteSpace.

European journal of medical research
OBJECTIVE: This study aimed to analyze recent research and emerging trends in transcranial magnetic stimulation (TMS) for stroke rehabilitation.

Number of Publications on New Clinical Prediction Models: A Bibliometric Review.

JMIR medical informatics
BACKGROUND: Concerns have been expressed about the abundance of new clinical prediction models (CPMs) proposed in the literature. However, the extent of this proliferation in prediction research remains unclear.

Data-driven trends in critical care informatics: a bibliometric analysis of global collaborations using the MIMIC database (2004-2024).

Computers in biology and medicine
BACKGROUND: The Medical Information Mart for Intensive Care (MIMIC) database has become a cornerstone resource for critical care research, enabling advances in outcome prediction, machine learning, and patient management. However, comprehensive bibli...

The application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis.

Asian journal of psychiatry
OBJECTIVE: Generative Artificial Intelligence (GAI) has emerged as a promising and innovative technological advancement that can increase access to mental health care services with its powerful natural language processing capabilities. Preliminary fi...

Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis.

Journal of medical Internet research
BACKGROUND: Fueled by innovations in technology and health interventions to promote, restore, and maintain health and safeguard well-being, the field of eHealth has yielded significant scholarly output over the past 25 years.

Areas of research focus and trends in the research on the application of AIGC in healthcare.

Journal of health, population, and nutrition
BACKGROUND: As a crucial part of current AI technology, the extent of AIGC's (Artificial Intelligence Generated Content) impact on healthcare, its potential to further drive the development of intelligent healthcare, and its ability to alleviate the ...

Advancements and future trends in machine learning for lung cancer: a comprehensive bibliometric analysis.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: In recent years, significant progress has been made in lung cancer screening, diagnosis, and treatment with the continuous development of machine learning (ML).

Machine learning in dentistry and oral surgery: charting the course with bibliometric insights.

Head & face medicine
BACKGROUND: We aimed to comprehensively analyze the application of machine learning (ML) in dentistry and oral surgery using bibliometric methods to identify research trends, hotspots, and future directions.

Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

Oncology research
OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to significant breakthroughs such as early screening, targeted therapies, and immunotherapy, contributing to reduced mortality rates in cancer patients. Despit...