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Using big-data analytics for CT radiation dose optimization

   
@article{ARH3894,
	author = {Anushri Parakh and Dushyant Vasudeo Sahani},
	title = {Using big-data analytics for CT radiation dose optimization},
	journal = {Annals of Research Hospitals},
	volume = {1},
	number = {9},
	year = {2017},
	keywords = {},
	abstract = {Of all the imaging modalities, CT is the highest contributor to medical radiation exposure. This has raised a substantially growing, though debatable, concern of health risks associated with radiation (1). In general, patient safety is paramount and the basic principle in imaging vis-à-vis radiation rightfully remains to be ‘as low as reasonably achievable’.},
	issn = {2523-0743},	url = {https://arh.amegroups.org/article/view/3894}
}