Recently, evidence has accumulated that demonstrates the potential for future applications of radiomics in many clinical settings, including thoracic oncology. Methodological reasons for the immaturity of image mining (radiomics and artificial intelligence-based) studies have been identified. However, data on the influence of the composition of the research team on the quality of investigations in radiomics are lacking.

Interdisciplinarity: An essential requirement for translation of radiomics research into clinical practice -a systematic review focused on thoracic oncology

Sollini, M;Chiti, A;Kirienko, M
2020-01-01

Abstract

Recently, evidence has accumulated that demonstrates the potential for future applications of radiomics in many clinical settings, including thoracic oncology. Methodological reasons for the immaturity of image mining (radiomics and artificial intelligence-based) studies have been identified. However, data on the influence of the composition of the research team on the quality of investigations in radiomics are lacking.
2020
Authorship
Interdisciplinarity
Lung cancer
Radiomics
Thymic neoplasms
Autoría
Cáncer de pulmón
Interdisciplinar
Neoplasias tímicas
Radiómica
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/55545
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