How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke?

Acute ischemic stroke (AIS) is the loss of neurological function due to a sudden reduction in cerebral blood flow and is a leading cause of disability and death worldwide. The field of radiological imaging has experienced growth in recent years, which could be boosted by the advent of artificial int...

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Bibliographic Details
Published in:Applied sciences 2023-09, Vol.13 (18), p.10061
Main Authors: Porto-Álvarez, Jacobo, Martínez, Antonio Mosqueira, Martínez Fernández, Javier, Sanmartín López, Marta, Blanco Ulla, Miguel, Vázquez Herrero, Fernando, Pumar, José Manuel, Rodríguez-Yáñez, Manuel, Minguillón Pereiro, Anxo Manuel, Bolón Villaverde, Alberto, Iglesias Rey, Ramón, Souto-Bayarri, Miguel
Format: Article
Language:English
Subjects:
acute ischemic stroke
AIS
artificial intelligence
Brain cancer
Care and treatment
Innovations
Ischemia
Magnetic resonance imaging
Medical imaging equipment
Medical prognosis
neuroradiology
Pathology
Performance evaluation
Radiomics
Stroke
Stroke (Disease)
Tomography
Tumors
Ultrasonic imaging
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Summary:Acute ischemic stroke (AIS) is the loss of neurological function due to a sudden reduction in cerebral blood flow and is a leading cause of disability and death worldwide. The field of radiological imaging has experienced growth in recent years, which could be boosted by the advent of artificial intelligence. One of the latest innovations in artificial intelligence is radiomics, which is based on the fact that a large amount of quantitative data can be extracted from radiological images, from which patterns can be identified and associated with specific pathologies. Since its inception, radiomics has been particularly associated with the field of oncology and has shown promising results in a wide range of clinical situations. The performance of radiomics in non-tumour pathologies has been increasingly explored in recent years, and the results continue to be promising. The aim of this review is to explore the potential applications of radiomics in AIS patients and to theorize how radiomics may change the paradigm for these patients in the coming years.
ISSN:2076-3417
2076-3417
DOI:10.3390/app131810061