AIMC Topic: Bibliometrics
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Landscape of Artificial Intelligence in Breast Cancer (2000-2021): A Bibliometric Analysis.
Frontiers in bioscience (Landmark edition)
Jul 18, 2022
BACKGROUND: Breast cancer remains one of the leading malignancies in women with distinct clinical heterogeneity and intense multidisciplinary cooperation. Remarkable progresses have been made in artificial intelligence (AI). A bibliometric analysis w...
Bibliometric Analysis of Chatbots in Health-Trend Shifts and Advancements in Artificial Intelligence for Personalized Conversational Agents.
Studies in health technology and informatics
Jun 6, 2022
Bibliometric analysis provides a summary for research reported in scientific literature. This can highlight pattens and trends in academic research areas, and assist in research directions. Recent growing requirements for efficient communications and...
Disparities in Regional Publication Trends on the Topic of Artificial Intelligence in Biomedical Science Over the Last Five Years: A Bibliometric Analysis.
Studies in health technology and informatics
May 25, 2022
Bibliometric analysis is a scientific method that allows researchers to explore the current trend in a certain research area using citation information. This study aims to provide a meta-view of artificial intelligence studies focused on biomedicine ...
Using sentiment analysis to identify similarities and differences in research topics and medical subject headings (MeSH terms) between Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) in 2020: A bibliometric study.
Medicine
Mar 18, 2022
BACKGROUND:: Little systematic information has been collected about the nature and types of articles published in 2 journals by identifying the latent topics and analyzing the extracted research themes and sentiments using text mining and machine lea...
Bibliometric analyses of applications of artificial intelligence on tuberculosis.
International journal of mycobacteriology
Jan 1, 2022
BACKGROUND: Tuberculosis is one of the leading causes of death worldwide affecting mainly low- and middle-income countries. Therefore, the objective is to analyze the bibliometric characteristics of the application of artificial intelligence (AI) in ...
Letter to the Editor: Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.
Cancer control : journal of the Moffitt Cancer Center
Jan 1, 2022
Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.
Cancer control : journal of the Moffitt Cancer Center
Jan 1, 2022
INTRODUCTION: Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificia...
Machine learning on small size samples: A synthetic knowledge synthesis.
Science progress
Jan 1, 2022
Machine Learning is an increasingly important technology dealing with the growing complexity of the digitalised world. Despite the fact, that we live in a 'Big data' world where, almost 'everything' is digitally stored, there are many real-world situ...
Letter to the Editor Regarding "Global Research Trends in Robotic Application in Neurosurgery: A Systematic Bibliometric Analysis".
World neurosurgery
Jan 1, 2022
What Can We Learn From the Past About the Future of Gerontology: Using Natural Language Processing to Examine the Field of Gerontology.
The journals of gerontology. Series B, Psychological sciences and social sciences
Oct 30, 2021
OBJECTIVES: We thematically classified all titles of eight top psychological and social gerontology journals over a period of six decades, between 1961 and February 2020. This was done in order to provide a broad overview of the main topics that inte...
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