Technological Advancements in Interventional Oncology.
artificial intelligence
augmented reality
digital health
interventional oncology
interventional radiology
radiomics
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
07 Jan 2023
07 Jan 2023
Historique:
received:
05
12
2022
revised:
31
12
2022
accepted:
02
01
2023
entrez:
21
1
2023
pubmed:
22
1
2023
medline:
22
1
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36673038
pii: diagnostics13020228
doi: 10.3390/diagnostics13020228
pmc: PMC9857620
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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