NEW TECHNOLOGIES IN RADIOLOGY

Article Sidebar

PDF
Published: 2025-10-30
DOI: https://doi.org/10.55640/
Keywords:
radiology, artificial intelligence, 3D/4D imaging, PET/MRI, spectral CT, portable ultrasound.

Main Article Content

Panoev Abduaziz
Asian International University, Department of Fundamental Sciences, teacher

Abstract

This article reviews recent advancements in radiological technologies, including artificial intelligence, 3D/4D imaging, hybrid PET/MRI systems, spectral CT, and portable ultrasound devices. Their applications, benefits, and roles in improving diagnostic accuracy and clinical workflow are discussed.

Downloads

Download data is not yet available.

Article Details

Issue

Vol. 4 No. 9 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

NEW TECHNOLOGIES IN RADIOLOGY. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(9), 1500-1502. https://doi.org/10.55640/

References

[1] Erickson, B. J., Korfiatis, P., Akkus, Z., & Kline, T. L. (2017). Machine learning for medical imaging. Radiographics, 37(2), 505–515.

[2] Chen, B., Zhang, G., et al. (2020). Applications of 4D imaging in clinical medicine. European Journal of Radiology, 130, 109–115.

[3] Townsend, D. W. (2008). Multimodality imaging of structure and function. Physics in Medicine and Biology, 53(4), R1–R39.

[4] McCollough, C. H., Leng, S., Yu, L., & Fletcher, J. G. (2015). Dual- and multi-energy CT: Principles, technical approaches, and clinical applications. Radiology, 276(3), 637–653.

[5] Narayan, A., et al. (2021). Point-of-care ultrasound: A revolution in clinical imaging. Ultrasound Journal, 13(1), 12–20.

[6] Saboury, B., et al. (2018). Artificial intelligence and radiology: Future directions. Radiology: Artificial Intelligence, 1(1), e180008.

[7] van der Gijp, A., et al. (2017). The role of 3D imaging in radiology education and practice. Insights into Imaging, 8(3), 309–321.

[8] Gong, J., et al. (2022). Advances in spectral CT: Clinical potential and applications. Journal of Computed Tomography, 46(5), 480–493.

[9] Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016). Radiomics: Images are more than pictures, they are data. Radiology, 278(2), 563–577.

[10] Mori, S., & Tournier, J. D. (2021). Innovation in radiology: The road toward precision imaging. Frontiers in Radiology, 1(4), 45–58.

Similar Articles

You may also start an advanced similarity search for this article.