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Revolutionizing Medical Diagnostics: A Look at Emerging Imaging Technologies
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Author(s): Pratyush Panda (Odisha University of Technology and Research, India)and Subhalaxmi Das (Odisha University of Technology and Research, India)
Copyright: 2024
Pages: 21
Source title:
Enhancing Medical Imaging with Emerging Technologies
Source Author(s)/Editor(s): Avinash Kumar Sharma (Sharda University, India), Nitin Chanderwal (University of Cincinnati, USA), Shobhit Tyagi (Sharda University, India), Prashant Upadhyay (Sharda University, India)and Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
DOI: 10.4018/979-8-3693-5261-8.ch002
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Abstract
Conventional imaging modalities like CT, MRI, and x-ray have become indispensable for medical diagnosis, but continual innovation is required to overcome their limitations in terms of resolution, radiation exposure, and cost. As a leader in automated image analysis, speedier diagnosis, and personalized treatment through the analysis of large datasets and the discovery of hitherto invisible patterns, AI is simply amazing. Other than AI, new imaging modalities like dark-field radiography and photoacoustic imaging (PAI) provide distinct perspectives. Aside from that, visualization tools made possible by 3D printing and virtual reality (VR) are revolutionizing medical imaging. This chapter investigates few Advanced Imaging techniques like photoacoustic imaging, radiomics, photon counting – CT, and dark-field radiography. This review explores these developments' underlying theories, areas of current research interest, and possible uses, emphasizing how they could transform medical imaging in the direction of increased accuracy, earlier diagnosis, and better patient outcomes.
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