AIMC Topic: Bibliometrics

Clear Filters Showing 261 to 270 of 282 articles

ChatGPT: Impact of an artificial author on bibliometrics.

Indian journal of medical ethics
The use of Artificial Intelligence (AI) in medical science has been widely discussed and debated. Topol foresaw that AI, particularly deep learning, would be used in a variety of applications, with users ranging from specialty doctors to paramedics [...

The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis.

Medicine
Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice. Furthermore, AI in digestive endoscopy has attracted much attention and shown promising and stimulating results. This study aimed to determine the d...

Landscape of Artificial Intelligence in Breast Cancer (2000-2021): A Bibliometric Analysis.

Frontiers in bioscience (Landmark edition)
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
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
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
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
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 ...

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
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
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...