2019
Journal article  Open Access

Radiomics to support precision medicine in oncology

Colantonio S, Barucci A., Germanese D.

Radiomics  Decision Support  Precision medicine 

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.

Source: ERCIM news (2019): 15–16.

Publisher: ERCIM., Le Chesnay



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BibTeX entry
@article{oai:it.cnr:prodotti:447430,
	title = {Radiomics to support precision medicine in oncology},
	author = {Colantonio S and Barucci A. and Germanese D.},
	publisher = {ERCIM., Le Chesnay},
	journal = {ERCIM news},
	pages = {15–16},
	year = {2019}
}
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