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Technological Advancements in Interventional Oncology

Authors :
Posa, Alessandro
Barbieri, Pierluigi
Mazza, Giulia
Tanzilli, Alessandro
Natale, Luigi
Sala, Evi
Iezzi, Roberto
Natale, Luigi (ORCID:0000-0002-7949-5119)
Sala, Evis
Iezzi, Roberto (ORCID:0000-0002-2791-481X)
Posa, Alessandro
Barbieri, Pierluigi
Mazza, Giulia
Tanzilli, Alessandro
Natale, Luigi
Sala, Evi
Iezzi, Roberto
Natale, Luigi (ORCID:0000-0002-7949-5119)
Sala, Evis
Iezzi, Roberto (ORCID:0000-0002-2791-481X)
Publication Year :
2023

Abstract

Interventional radiology, and particularly interventional oncology, represents one of the medical subspecialties in which technological advancements and innovations play an utterly fundamental role. Artificial intelligence, consisting of big data analysis and feature extrapolation through computational algorithms for disease diagnosis and treatment response evaluation, is nowadays playing an increasingly important role in various healthcare fields and applications, from diagnosis to treatment response prediction. One of the fields which greatly benefits from artificial intelligence is interventional oncology. In addition, digital health, consisting of practical technological applications, can assist healthcare practitioners in their daily activities. This review aims to cover the most useful, established, and interesting artificial intelligence and digital health innovations and updates, to help physicians become more and more involved in their use in clinical practice, particularly in the field of interventional oncology.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1439664427
Document Type :
Electronic Resource