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Bibliometrics

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Usefulness of Artificial Intelligence in Traumatic Brain Injury: A Bibliometric Analysis and Mini-review.

World neurosurgery
BACKGROUND: Traumatic brain injury (TBI) has become a major source of disability worldwide, increasing the interest in algorithms that use artificial intelligence (AI) to optimize the interpretation of imaging studies, prognosis estimation, and criti...

Parkinson's disease diagnosis using deep learning: A bibliometric analysis and literature review.

Ageing research reviews
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD diagnosis research, with an increase in the number of published papers in this di...

Facilitators and barriers to codesigning social robots with older adults with dementia: a scoping review protocol.

BMJ open
INTRODUCTION: Social robots including telepresence robots have emerged as potential support in dementia care. However, the effectiveness of these robots hinges significantly on their design and utility. These elements are often best understood by the...

The path from task-specific to general purpose artificial intelligence for medical diagnostics: A bibliometric analysis.

Computers in biology and medicine
Artificial intelligence (AI) has revolutionized many fields, and its potential in healthcare has been increasingly recognized. Based on diverse data sources such as imaging, laboratory tests, medical records, and electrophysiological data, diagnostic...

Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis.

Brain research bulletin
Research on artificial intelligence for brain injury is currently a prominent area of scientific research. A significant amount of related literature has been accumulated in this field. This study aims to identify hotspots and clarify research resour...

Artificial Intelligence in Telemedicine: A Global Perspective Visualization Analysis.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association

Medical long-tailed learning for imbalanced data: Bibliometric analysis.

Computer methods and programs in biomedicine
BACKGROUND: In the last decade, long-tail learning has become a popular research focus in deep learning applications in medicine. However, no scientometric reports have provided a systematic overview of this scientific field. We utilized bibliometric...

Bibliometric analysis of the 3-year trends (2018-2021) in literature on artificial intelligence in ophthalmology and vision sciences.

BMJ health & care informatics
OBJECTIVES: The objective of this analysis is to present a current view of the field of ophthalmology and vision research and artificial intelligence (AI) from topical and geographical perspectives. This will clarify the direction of the field in the...

Trends in stroke-related journals: Examination of publication patterns using topic modeling.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
OBJECTIVES: This study aims to demonstrate the capacity of natural language processing and topic modeling to manage and interpret the vast quantities of scholarly publications in the landscape of stroke research. These tools can expedite the literatu...

Warfarin-A natural anticoagulant: A review of research trends for precision medication.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Warfarin is a widely prescribed anticoagulant in the clinic. It has a more considerable individual variability, and many factors affect its variability. Mathematical models can quantify the quantitative impact of these factors on individu...