Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review
Abstract
:1. Introduction
2. Overview of Artificial Intelligence
3. Ischemic Stroke and Artificial Intelligence: Are You a Bot? Please Select All Images Containing Ischemic Stroke
4. Research Strategy
5. Results
5.1. Large-Artery Atherosclerosis Subtype
5.2. Cardioembolic Source Detection
5.3. Small Vessel Disease Identification
5.4. Stroke of Undetermined Etiology
6. Discussion
6.1. AI and LAAS
6.2. AI in Cardioembolic Stroke
6.3. AI in Small Vessel Disease
6.4. Stroke of Unkown Origin and AI
7. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data availability statement
Conflicts of Interest
Abbreviations
References
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Miceli, G.; Basso, M.G.; Rizzo, G.; Pintus, C.; Cocciola, E.; Pennacchio, A.R.; Tuttolomondo, A. Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review. Biomedicines 2023, 11, 1138. https://doi.org/10.3390/biomedicines11041138
Miceli G, Basso MG, Rizzo G, Pintus C, Cocciola E, Pennacchio AR, Tuttolomondo A. Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review. Biomedicines. 2023; 11(4):1138. https://doi.org/10.3390/biomedicines11041138
Chicago/Turabian StyleMiceli, Giuseppe, Maria Grazia Basso, Giuliana Rizzo, Chiara Pintus, Elena Cocciola, Andrea Roberta Pennacchio, and Antonino Tuttolomondo. 2023. "Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review" Biomedicines 11, no. 4: 1138. https://doi.org/10.3390/biomedicines11041138