There are several aspects of cutting-edge medical imaging informatics research solutions that will be evaluated in this review. Artificial intelligence (AI) is one of the most crucial parts of big healthcare data analytics, as it streamlines various imaging modalities' data management processes. It then gives a summary of existing and emerging algorithmic methods for sickness categorization and organ/tissue segmentation, with a focus on AI and deep learning architectures that have already become the standard approach to this area of research. In the context of in-silico modelling advancements, these new 3D reconstruction and visualisation applications and their clinical benefits have been thoroughly researched. The findings of this and related studies could be used to develop an integrated analytics strategy that would totally reshape imaging informatics in radiology and digital pathology. The latter is supposed to provide more exact diagnosis, faster prognosis, and more effective treatment planning.
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Research Article| June 15 2023
Medical imaging: Challenges and future directions in AI-Based systems
AIP Conf. Proc. 2782, 020147 (2023)
Rakesh Kumar, Mini Anil, Sampurna Panda, Ashish Raj; Medical imaging: Challenges and future directions in AI-Based systems. AIP Conf. Proc. 15 June 2023; 2782 (1): 020147. https://doi.org/10.1063/5.0154355
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