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What is Advanced Multimodal Image Guided Operating (AMIGO)

Chapter 1
Handbook of Research on Pattern Engineering System Development for Big Data Analytics
Advanced multimodal image guided operating suite is a best-in-class medicinal and surgical research condition that houses a total exhibit of cutting edge imaging hardware and interventional surgical frameworks. Multidisciplinary groups of authorities utilize this hardware exhibit and the one of a kind plan of the suite to productively and correctly manage treatment some time recently, amid, and after surgery without the patient or restorative group regularly leaving the working room. This inventive working and imaging research suite supports coordinated effort among multidisciplinary groups of specialists, interventional radiologists, imaging physicists, researchers, biomedical designers, medical caretakers, and technologists. Tackling the advantages of cutting edge innovation and a productive three-room outline, the AMIGO groups expect to create and convey the most secure and best in class treatments in a patient-accommodating condition.
Published in Chapter:
Big Data Challenges and Solutions in the Medical Industries
Ramgopal Kashyap (Sagar Institute of Science and Technology, India) and Albert Dayor Piersson (University of Cape Coast, Ghana)
Copyright: © 2018 |Pages: 24
DOI: 10.4018/978-1-5225-3870-7.ch001
Abstract
Big data today is being investigated to find the bits of knowledge that prompt better choices and vital business moves. The data innovations are developing to a point in which an ever-increasing number of associations are set up to pilot and embrace big data as a center part of the data administration and examination framework. It is a range of research that is blasting yet at the same time confronts many difficulties in utilizing the esteem that information brings to the table. The battle against “spam information” and information quality is a pivotal issue. Big data challenges are discussed and some solutions are proposed because the volume of made information will surpass the capacity limits and will require cautious determination.
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