[HTML][HTML] Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics

X Chen, H Xie, X Tao, FL Wang, M Leng… - Artificial Intelligence …, 2024 - Springer
Advancements in artificial intelligence (AI) have driven extensive research into developing
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

X Chen, H Xie, Z Li, G Cheng, M Leng… - Information Processing & …, 2023 - Elsevier
With the fast progress in information technologies and artificial intelligence (AI), smart
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 …

Big Data in Healthcare-A Comprehensive Bibliometric Analysis of Current Research Trends

A Reshi, A Shah, S Shafi, MH Qadri - Scalable Computing: Practice and …, 2023 - scpe.org
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 …

[HTML][HTML] A review of the application of multi-modal deep learning in medicine: bibliometrics and future directions

X Pei, K Zuo, Y Li, Z Pang - International Journal of Computational …, 2023 - Springer
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 …

[HTML][HTML] Artificial intelligence-based methods for fusion of electronic health records and imaging data

F Mohsen, H Ali, N El Hajj, Z Shah - Scientific Reports, 2022 - nature.com
Healthcare data are inherently multimodal, including electronic health records (EHR),
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 …

[图书][B] Big data in multimodal medical imaging

A El-Baz, JS Suri - 2019 - books.google.com
There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

[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 …

A bibliometric analysis of technology in digital health: Exploring health metaverse and visualizing emerging healthcare management trends

HS Nguyen, M Voznak - IEEE Access, 2024 - ieeexplore.ieee.org
The digital economy has engendered Health Metaverse, an innovative technology with vast
potential to transform healthcare through immersive experiences. The Health Metaverse …