Recent Applications of Cloud Computing in Medical Imaging: Advances in Medical Image Analysis and Storage of Medical Imaging Data
DOI:
https://doi.org/10.14738/assrj.115.16941Keywords:
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 realityAbstract
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.
References
Sunyaev, A. (2020). Cloud Computing. In: Internet Computing. Springer, Cham.
Zhang, Q., Cheng, L. & Boutaba, R. Cloud computing: state-of-the-art and research challenges. J Internet Serv Appl 1, 7–18 (2010).
What is Cloud Computing?. Google Cloud. 2024. Available from: https://cloud.google.com/learn/what-iscloud-computing
What is cloud computing?. Azure Microsoft. 2024. Available from: https://azure.microsoft.com/enus/resources/cloud-computing-dictionary/what-is-cloud-computing/ 270 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.
Navale V, Bourne PE. Cloud computing applications for biomedical science: A perspective. PLoS Comput Biol. 2018 Jun 14;14(6): e1006144.
Khanna A, Sah A, Bolshev V, Burgio A, Panchenko V, Jasiński M. Blockchain-Cloud Integration: A Survey. Sensors (Basel). 2022 Jul 13;22(14):5238.
Griebel L, Prokosch HU, Köpcke F, Toddenroth D, Christoph J, Leb I, Engel I, Sedlmayr M. A scoping review of cloud computing in healthcare. BMC Med Inform Decis Mak. 2015 Mar 19; 15:17.
Kagadis GC, Kloukinas C, Moore K, Philbin J, Papadimitroulas P, Alexakos C, Nagy PG, Visvikis D, Hendee WR. Cloud computing in medical imaging. Med Phys. 2013 Jul;40(7):070901.
Chang SC, Lu MT, Pan TH, Chen CS. Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan's Healthcare Industry. Life (Basel). 2021 Apr 2;11(4):310.
What is cloud computing? McKinsey & Company; 2022. Available from: https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-cloud-computing
Bonde B. Edge, Fog, and Cloud Against Disease: The Potential of High-Performance Cloud Computing for Pharma Drug Discovery. Methods Mol Biol. 2024; 2716:181-202.
Ohmann C, Canham S, Danielyan E, Robertshaw S, Legré Y, Clivio L, Demotes J. 'Cloud computing' and clinical trials: report from an ECRIN workshop. Trials. 2015 Jul 29; 16:318.
Egger J, Wild D, Weber M, Bedoya CAR, Karner F, Prutsch A, Schmied M, Dionysio C, Krobath D, Jin Y, Gsaxner C, Li J, Pepe A. Studierfenster: An Open Science Cloud-Based Medical Imaging Analysis Platform. J Digit Imaging. 2022 Apr;35(2):340-355.
Milletari F, Frei J, Aboulatta M, Vivar G, Ahmadi SA. Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT. IEEE J Biomed Health Inform. 2019 May;23(3):969-977.
Zhou Y, Qian C, Guo Y, Wang Z, Wang J, Qu B, Guo D, You Y, Qu X. XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov; 2021:3289-3292.
Viana-Ferreira C, Guerra A, Silva JF, Matos S, Costa C. An Intelligent Cloud Storage Gateway for Medical Imaging. J Med Syst. 2017 Sep;41(9):141.
Doel T, Shakir DI, Pratt R, Aertsen M, Moggridge J, Bellon E, David AL, Deprest J, Vercauteren T, Ourselin S. GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. Comput Methods Programs Biomed. 2017 Feb; 139:181-190.
Ma W, Sartipi K, Sharghigoorabi H, Koff D, Bak P. OpenID Connect as a security service in cloud-based medical imaging systems. J Med Imaging (Bellingham). 2016 Apr;3(2):026501.
Easmin R, Nordio G, Giacomel A, Turkheimer F, Williams S, Veronese M. Bitbox: A Cloud-based data sharing solution for medical images. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul; 2022:2712-2715.
Mehrtak M, SeyedAlinaghi S, MohsseniPour M, Noori T, Karimi A, Shamsabadi A, Heydari M, Barzegary A, Mirzapour P, Soleymanzadeh M, Vahedi F, Mehraeen E, Dadras O. Security challenges and solutions using healthcare cloud computing. J Med Life. 2021 Jul-Aug;14(4):448-461
Kawel-Boehm N, Bluemke DA. Cardiovascular imaging environment: will the future be cloud-based? Expert Rev Med Devices. 2017 Jul;14(7):521-528.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Mariana Yordanova
This work is licensed under a Creative Commons Attribution 4.0 International License.
