Recent Applications of Cloud Computing in Medical Imaging: Advances in Medical Image Analysis and Storage of Medical Imaging Data

Authors

  • Mariana Yordanova Medical University in Varna, Medical College in Varna, Varna, Bulgaria

DOI:

https://doi.org/10.14738/assrj.115.16941

Keywords:

medical imaging, radiography, cloud computing, 2D – two-dimensional, 3D – three-dimensional, AI – artificial intelligence, API – application programming interface, AR – augmented reality, CT – computed tomography, IoT – Internet of Things, ML – machine learning, MRI – magnetic resonance imaging, PACS – Picture Archiving and Communication System, VR – virtual reality

Abstract

Purpose: The purpose of this article is to offer an overview of the recent applications of cloud computing in medical imaging and their advances in the field. It reviews existing scientific and academic literature on cloud computing-based platforms and solutions for medical image analysis and storage of medical imaging data. Materials and methods: This article uses available scientific literature on the applications of cloud computing in medical imaging from PubMed, Google Scholar and ScienceDirect. Results: The review shows that interest and research in cloud computing applications in medical imaging has increased in recent years. This has led to new and more effective platforms and solutions for medical image analysis and storage of medical imaging data. Innovative applications of cloud computing in medical imaging try to address ethical and security concerns using authentication, encryption, anonymization and access controls. Conclusions: Cloud computing offers promising applications in medical imaging. Notwithstanding, further research is necessary to demonstrate their effectiveness, safety and security in a medical setting.

Downloads

Published

2024-05-31

How to Cite

Yordanova, M. (2024). Recent Applications of Cloud Computing in Medical Imaging: Advances in Medical Image Analysis and Storage of Medical Imaging Data. Advances in Social Sciences Research Journal, 11(5), 267–271. https://doi.org/10.14738/assrj.115.16941