AIMC Topic: Bibliometrics
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Improving search strategies in bibliometric studies on machine learning in renal medicine.
International urology and nephrology
Dec 23, 2024
This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learning in renal medicine. Although the study claims to summarize the forefront trends and hotspots in this field, several key issues require further clarif...
Recent advances in groundwater pollution research using machine learning from 2000 to 2023: A bibliometric analysis.
Environmental research
Dec 20, 2024
Groundwater pollution has become a global challenge, posing significant threats to human health and ecological environments. Machine learning, with its superior ability to capture non-linear relationships in data, has shown significant potential in a...
Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example.
PloS one
Dec 2, 2024
With the continuous increase in the number of academic researchers, the volume of scientific papers is also increasing rapidly. The challenge of identifying papers with greater potential academic impact from this large pool has received increasing at...
The role of artificial intelligence in immune checkpoint inhibitor research: A bibliometric analysis.
Human vaccines & immunotherapeutics
Nov 28, 2024
Immune checkpoint inhibitors (ICIs) are revolutionizing cancer treatment, and Artificial Intelligence (AI) is a key player in this field. A comprehensive analysis of AI's impact on these inhibitors was lacking, but this study addresses that by analyz...
Research hotspots and trends for Duchenne muscular dystrophy: a machine learning bibliometric analysis from 2004 to 2023.
Frontiers in immunology
Nov 28, 2024
AIMS: The aim of this study was to conduct a bibliometric analysis of the relevant literature on Duchenne muscular dystrophy (DMD) to ascertain its current status, identify key areas of research and demonstrate the evolution of the field.
Artificial intelligence and microbiome research: Evolution of hotspots, research trends, and thematic-based narrative review.
Cellular and molecular biology (Noisy-le-Grand, France)
Nov 24, 2024
Artificial intelligence (AI) and microbiome have emerged in recent years as transformative fields with far-reaching implications for various biomedical domains. This paper presents a comprehensive bibliometric analysis examining the intersection of A...
A comprehensive overview of acupuncture therapy over the past 20 years: Machine learning-based bibliometric analysis.
Complementary therapies in medicine
Nov 13, 2024
BACKGROUND: Acupuncture, a therapy created by the ancient Chinese, has been gaining increasing popularity and acceptance worldwid. The surge in the number of publications on acupuncture therapy has posed significant challenges for researchers in effe...
A bibliometrics analysis based on the application of artificial intelligence in the field of radiotherapy from 2003 to 2023.
Radiation oncology (London, England)
Nov 11, 2024
BACKGROUND: Recent research has demonstrated that the use of artificial intelligence (AI) in radiotherapy (RT) has significantly streamlined the process for physicians to treat patients with tumors; however, bibliometric studies examining the correla...
Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024.
International urology and nephrology
Oct 30, 2024
BACKGROUND: The kidney, an essential organ of the human body, can suffer pathological damage that can potentially have serious adverse consequences on the human body and even affect life. Furthermore, the majority of kidney-induced illnesses are freq...
Human Capital and Productivity in Surgery Research Across the Globe: A Big Data Analysis Using Artificial Intelligence.
The Journal of surgical research
Oct 25, 2024
INTRODUCTION: No investigation of each nation's contribution to knowledge production and human capital in surgery currently exists. Previous studies explored country-level research productivity only in few surgical subspecialties. To identify current...
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