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The Challenges of Diagnostic Imaging in the Era of Big Data

1
IRCCS SDN, Via Gianturco 113, Napoli 80143, Italy
2
Biocheckup SRL, Napoli 80121, Italy
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Author to whom correspondence should be addressed.
J. Clin. Med. 2019, 8(3), 316; https://doi.org/10.3390/jcm8030316
Received: 9 February 2019 / Revised: 27 February 2019 / Accepted: 28 February 2019 / Published: 6 March 2019
(This article belongs to the Special Issue Trends in Precision Oncology from Data Science)
The diagnostic imaging field has undergone considerable growth both in terms of technological development and market expansion; with the following increasing production of a considerable amount of data that potentially fully poses diagnostic imaging in the Big data in the context of healthcare. Nevertheless, the mere production of a large amount of data does not automatically permit the real exploitation of their intrinsic value. Therefore, it is necessary to develop digital platforms and applications that favor the correct and advantageous management of diagnostic images such as Big data. This work aims to frame the role of diagnostic imaging in this new scenario, emphasizing the open challenges in exploiting such intense data generation for decision making with Big data analytics. View Full-Text
Keywords: Big data; Diagnostic Imaging; Radiology; Radiomics; Human Connectome; Brain Connectivity; Anthropometry; Simulation Big data; Diagnostic Imaging; Radiology; Radiomics; Human Connectome; Brain Connectivity; Anthropometry; Simulation
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Aiello, M.; Cavaliere, C.; D’Albore, A.; Salvatore, M. The Challenges of Diagnostic Imaging in the Era of Big Data. J. Clin. Med. 2019, 8, 316.

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