Radiology in the Era of Big Data and Machine Learning

Augusto BF Antunes, Flávio Amaro Oliveira Bitar Silva and Guilherme Augusto Salgado
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Augusto BF Antunes: Radiologist at Axial Medicina Diagnóstica, Brazil
Flávio Amaro Oliveira Bitar Silva: Trauma and Urgency Surgeon; Gastrointestinal Endoscopist, Brazil
Guilherme Augusto Salgado: Medical Consultant and Head of Business Development, Brazil

Current Trends in Clinical & Medical Imaging, 2017, vol. 1, issue 5, 98-100

Abstract: The whole healthcare system, from management to care providing, including scientific production, will be impacted by Artificial Intelligent. Nowadays, uniting data availability, powerful hardwares and new Deep Learning algorithms, there is a perfect environment to really develop a new way of solve problems in healthcare practice. Radiology has always been intrinsically connected to new scientifical advances and technologies, probably like no other area in medicine. It’s time to consider what the best place for the radiologist is, in this context. Also, it is imperative to know that there is no way to really ingress on this new era of technology based development in healthcare, if no effort is to be made on organizing, store, retrieve, distribute and secure the data we produce.

Keywords: juniper publishers; medical imaging journals impact factor; journal of medical imaging impact factor; clinical and medical imaging; clinical lab and medical imaging reports; medical imaging and clinical research; current trends in clinical & medical imaging impact factor; international journal of clinical & medical imaging impact factor (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jctcmi:v:1:y:2017:i:5:p:98-100

DOI: 10.19080/CTCMI.2017.01.555575

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