[HTML][HTML] Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Advancements in artificial intelligence (AI) have driven extensive research into developing
diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of …
diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of …
[HTML][HTML] Information fusion and artificial intelligence for smart healthcare: a bibliometric study
With the fast progress in information technologies and artificial intelligence (AI), smart
healthcare has gained considerable momentum. By using advanced technologies like AI …
healthcare has gained considerable momentum. By using advanced technologies like AI …
[HTML][HTML] Artificial intelligence applications in healthcare: a bibliometric and topic model-based analysis
SM Alhashmi, IA Hashem, I Al-Qudah - Intelligent Systems with …, 2023 - Elsevier
Artificial Intelligence (AI) has emerged as a leading technology that can significantly
enhance healthcare systems., including diagnosis and treatment recommendations, patient …
enhance healthcare systems., including diagnosis and treatment recommendations, patient …
Big Data in Healthcare-A Comprehensive Bibliometric Analysis of Current Research Trends
The primary purpose of this study is to perform a comprehensive bibliometric analysis of
research landscape of big data in healthcare. Big data as a significant technology used in …
research landscape of big data in healthcare. Big data as a significant technology used in …
[HTML][HTML] A review of the application of multi-modal deep learning in medicine: bibliometrics and future directions
In recent years, deep learning has been applied in the field of clinical medicine to process
large-scale medical images, for large-scale data screening, and in the diagnosis and …
large-scale medical images, for large-scale data screening, and in the diagnosis and …
[HTML][HTML] Artificial intelligence-based methods for fusion of electronic health records and imaging data
Healthcare data are inherently multimodal, including electronic health records (EHR),
medical images, and multi-omics data. Combining these multimodal data sources …
medical images, and multi-omics data. Combining these multimodal data sources …
Big data analytics in health: An overview and bibliometric study of research activity
P Galetsi, K Katsaliaki - Health Information & Libraries Journal, 2020 - Wiley Online Library
Objective The study presents an overview of the research activity in Big Data Analytics
(BDA) in the field of health and demonstrates the existing knowledge through related …
(BDA) in the field of health and demonstrates the existing knowledge through related …
[HTML][HTML] Global quantitative analysis and visualization of big data and medical devices based on bibliometrics
X Bai, J Duan, B Li, S Fu, W Yin, Z Yang, Z Qu - Expert Systems with …, 2024 - Elsevier
Background In the big data era, the healthcare sector grapples with increased data volumes
and the push for more intelligent medical devices. This challenge is marked by data silos …
and the push for more intelligent medical devices. This challenge is marked by data silos …
A bibliometric analysis of technology in digital health: Exploring health metaverse and visualizing emerging healthcare management trends
The digital economy has engendered Health Metaverse, an innovative technology with vast
potential to transform healthcare through immersive experiences. The Health Metaverse …
potential to transform healthcare through immersive experiences. The Health Metaverse …