Artificial Intelligence (AI) provides considerable support to healthcare processes, allowing for the development of advanced technologies for improving the quality and personalization of medical care provided to patients. In the field of medical imaging, this has made it possible to develop and implement numerous tools that support physicians in different tasks of the treatment process: computer-assisted segmentation, support for diagnosis, assessment of response to treatment, and predictive models based on radiomics [1]. For these reasons, computer-assisted image analysis is considered an essential tool in the clinical workflow.

Artificial Intelligence and Medical Imaging Applications

Leonardo Rundo
Primo
;
Carmelo Militello
Ultimo
2022

Abstract

Artificial Intelligence (AI) provides considerable support to healthcare processes, allowing for the development of advanced technologies for improving the quality and personalization of medical care provided to patients. In the field of medical imaging, this has made it possible to develop and implement numerous tools that support physicians in different tasks of the treatment process: computer-assisted segmentation, support for diagnosis, assessment of response to treatment, and predictive models based on radiomics [1]. For these reasons, computer-assisted image analysis is considered an essential tool in the clinical workflow.
2022
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Palermo
Artificial Intelligence, medical imaging, clinical applications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/590862
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