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Precision Imaging in Healthcare: Advancements in Radiology and Medical Imaging

by Penelope Simmons 1,*
1
Palacký University Olomouc
*
Author to whom correspondence should be addressed.
JPHE  2020 3(2):56; https://doi.org/10.xxxx/xxxxxx
Received: 5 September 2020 / Accepted: 8 October 2020 / Published Online: 15 December 2020

Abstract

Precision imaging has revolutionized healthcare by providing clinicians with detailed insights into anatomical structures and physiological processes, enabling accurate diagnosis and personalized treatment planning. This paper explores recent advancements in radiology and medical imaging techniques, focusing on their applications in clinical practice and research. Key topics include the principles and modalities of precision imaging, such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and ultrasound, as well as emerging technologies like molecular imaging and functional MRI. Additionally, the paper discusses the integration of artificial intelligence (AI) and machine learning algorithms in image interpretation, image-guided interventions, and quantitative imaging biomarkers for disease assessment and monitoring. Furthermore, the paper examines the role of precision imaging in oncology, neurology, cardiology, and other medical specialties, highlighting its impact on patient outcomes and healthcare delivery. By synthesizing evidence from clinical trials and imaging studies, this paper aims to showcase the transformative potential of precision imaging in improving diagnostic accuracy, treatment efficacy, and patient care.


Copyright: © 2020 by Simmons. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Simmons, P. Precision Imaging in Healthcare: Advancements in Radiology and Medical Imaging. Journal of Public Health & Environment, 2020, 3, 56. doi:10.xxxx/xxxxxx
AMA Style
Simmons P. Precision Imaging in Healthcare: Advancements in Radiology and Medical Imaging. Journal of Public Health & Environment; 2020, 3(2):56. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Simmons, Penelope 2020. "Precision Imaging in Healthcare: Advancements in Radiology and Medical Imaging" Journal of Public Health & Environment 3, no.2:56. doi:10.xxxx/xxxxxx

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References

  1. Davenport, M. S., et al. (2017). ACR appropriateness criteria® nonpalpable mammographic findings (excluding calcifications). Journal of the American College of Radiology, 14(5S), S172-S193.
  2. Sodickson, A., & Baeyens, P. F. (2017). Healthcare utilization of advanced imaging technologies. Radiology, 293(2), 246-251.
  3. Liu, X., et al. (2019). Deep learning in medical ultrasound analysis: a review. Engineering, 5(2), 261-275.
  4. Sodickson, A., et al. (2013). The future of radiology. Radiology, 266(1), 7-10.
  5. Filippi, M., & Rocca, M. A. (2018). MR imaging of multiple sclerosis. Radiology, 289(2), 651-668.
  6. Gillies, R. J., et al. (2016). Radiomics: images are more than pictures, they are data. Radiology, 278(2), 563-577.
  7. Bhargava, P., et al. (2019). Artificial intelligence in the future of medical imaging: can we replace radiologists? European Journal of Radiology, 114, 1-5.
  8. Lambin, P., et al. (2017). Radiomics: extracting more information from medical images using advanced feature analysis. European Journal of Cancer, 48(4), 441-446.