Technological Advancements in Interventional Oncology

被引:4
|
作者
Posa, Alessandro [1 ]
Barbieri, Pierluigi [1 ]
Mazza, Giulia [1 ]
Tanzilli, Alessandro [1 ]
Natale, Luigi [1 ,2 ]
Sala, Evis [1 ,2 ]
Iezzi, Roberto [1 ,2 ]
机构
[1] A Gemelli Univ Hosp Fdn IRCCS, Dept Diagnost Imaging Oncol Radiotherapy Hematol, Lgo A Gemelli 8, I-00168 Rome, Italy
[2] Univ Cattolica Sacro Cuore, Ist Radiodiagnost, I-00168 Rome, Italy
关键词
interventional radiology; interventional oncology; artificial intelligence; digital health; augmented reality; radiomics; CONVOLUTIONAL NEURAL-NETWORK; RADIOMICS; CT; METASTASIS; PREDICTION;
D O I
10.3390/diagnostics13020228
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:11
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