AIMC Topic: Bibliometrics

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Machine learning computational tools to assist the performance of systematic reviews: A mapping review.

BMC medical research methodology
BACKGROUND: Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Due its methodology, SR require...

Global trends and frontiers of research on pathologic myopia since the millennium: A bibliometric analysis.

Frontiers in public health
BACKGROUND AND PURPOSE: Pathologic myopia (PM) is an international public health issue. This study aimed to analyze PM research trends by reporting on publication trends since 2000 and identifying influential journals, countries, authors, and keyword...

Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis.

Journal of medical Internet research
BACKGROUND: Interest in critical care-related artificial intelligence (AI) research is growing rapidly. However, the literature is still lacking in comprehensive bibliometric studies that measure and analyze scientific publications globally.

Research progress in digital pathology: A bibliometric and visual analysis based on Web of Science.

Pathology, research and practice
BACKGROUND: The development of whole slide image and deep neural network technologies has contributed to the paradigm shift in diagnostic pathology and has received much attention from researchers, with related publications increasing yearly and "exp...

Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011-2021: A bibliometric analysis.

Frontiers in public health
Ultrasound, as a common clinical examination tool, inevitably has human errors due to the limitations of manual operation. Artificial intelligence is an advanced computer program that can solve this problem. Therefore, the relevant literature on the ...

Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.

Journal of translational medicine
BACKGROUND: With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve...

Randomized Clinical Trials of Machine Learning Interventions in Health Care: A Systematic Review.

JAMA network open
IMPORTANCE: Despite the potential of machine learning to improve multiple aspects of patient care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a prerequisite to large-scale clinical adoption of an intervention, a...

Trends in artificial intelligence in nursing: Impacts on nursing management.

Journal of nursing management
OBJECTIVE: To investigate the academic use of artificial intelligence (AI) in nursing.

Characteristics, Impact, and Visibility of Scientific Publications on Artificial Intelligence in Dentistry: A Scientometric Analysis.

The journal of contemporary dental practice
AIM: To analyze the bibliometric characteristics, impact, and visibility of scientific publications on artificial intelligence (AI) in dentistry in Scopus.

Research hotspots and emerging trends of deep learning applications in orthopedics: A bibliometric and visualized study.

Frontiers in public health
BACKGROUND: As a research hotspot, deep learning has been continuously combined with various research fields in medicine. Recently, there is a growing amount of deep learning-based researches in orthopedics. This bibliometric analysis aimed to identi...