Data di Pubblicazione:
2019
Abstract:
Precision health, the future of patient care, is dependent on artificial intelligence. Of the information contained in a digital medical image, visual analysis can only extract about 10%. Radiomics aims to extract an enormous wealth of quantitative data from biomedical images, which could not be processed through simple visual analysis, but is capable of providing more information on the underlying pathophysiological phenomena and biological processes within human body. The subsequent mining of these quantitative data can offer very useful information on the aggressiveness of the disease under investigation, opening at the tailoring of the therapies based on a patient's needs and at the monitoring of the response to care. Therefore, by using specific mathematical algorithms and artificial intelligence techniques, radiomics provides very powerful support for precision medicine, especially in oncology.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Radiomics; Decision Support; Precision medicine
Elenco autori:
Germanese, Danila; Colantonio, Sara; Barucci, Andrea
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