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Mapping the knowledge landscape of the PET/MR domain: a multidimensional bibliometric analysis.
Eur J Nucl Med Mol Imaging
January 2025
Huashan Hospital and Human Phenome Institute, Fudan University, 220 Handan Road, Shanghai, 200433, China.
Objective: This study aims to conduct a bibliometric analysis to explore research trends, collaboration patterns, and emerging themes in the PET/MR field based on published literature from 2010 to 2024.
Methods: A detailed literature search was performed using the Web of Science Core Collection (WoSCC) database with keywords related to PET/MR. A total of 4,349 publications were retrieved and analyzed using various bibliometric tools, including VOSviewer and CiteSpace.
Improving search strategies in bibliometric studies on machine learning in renal medicine.
Int Urol Nephrol
December 2024
Department of Thoracic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China.
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 clarification to effectively guide future research.
View Article and Find Full Text PDFVirtual Surgical Planning in Craniofacial Surgery: The Top 50 Most Frequently Cited Papers.
Plast Surg (Oakv)
December 2024
Division of Plastic Surgery, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
Reporting the 50 most cited manuscripts on virtual surgical planning (VSP) for craniofacial surgery, thereby providing a comprehensive review of landmark papers. The Web of Science Citation Index was used to identify the 50 most cited manuscripts on VSP in craniofacial surgery. These were classified by level of evidence, type of study, topic of interest, and anatomic site.
View Article and Find Full Text PDFThe application of artificial intelligence in diagnosis of Alzheimer's disease: a bibliometric analysis.
Front Neurol
December 2024
Department of Laboratory Medicine, The Second People's Hospital of Guizhou Province, Guiyang, China.
Alzheimer's disease (AD) is a neurodegenerative disorder that severely impacts cognitive function, posing significant physical and psychological burdens on patients and substantial economic challenges to families and society, particularly in aging populations where its prevalence is rising. Current diagnostic and therapeutic strategies, including pharmacological treatments and non-pharmacological interventions, exhibit considerable limitations in early diagnosis, etiological treatment, and disease management. This study aims to investigate the application of artificial intelligence (AI) in the early diagnosis and progression monitoring of AD through a bibliometric analysis of relevant literature.
View Article and Find Full Text PDFResearch trends on AI in breast cancer diagnosis, and treatment over two decades.
Discov Oncol
December 2024
Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Jharkhand, Deoghar, India.
Objective: Recently, the integration of Artificial Intelligence (AI) has significantly enhanced the diagnostic accuracy in breast cancer screening. This study aims to deliver an extensive review of the advancements in AI for breast cancer diagnosis and prognosis through a bibliometric analysis.
Methodology: Therefore, this study gathered pertinent peer-reviewed research articles from the Scopus database, spanning the years 2000 to 2024.
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