{"title":"Inteligencia artificial aplicada al cuidado del ataque cerebrovascular: una descripción del estado del arte y expectativas futuras","authors":"Esteban Basáez-Miranda MD","doi":"10.1016/j.rmclc.2025.06.007","DOIUrl":null,"url":null,"abstract":"<div><div>Stroke is the second leading cause of death and the first cause of disability in Chile. Given the epidemiological behavior of our country, it is projected that the number of stroke patients will continue to increase in the future, so it is essential to have new public health strategies to address this scenario of high healthcare burden. Artificial intelligence has thus become an extremely useful tool in the management of stroke in its different stages (detection, management, primary and secondary prevention, and rehabilitation). In a narrative way, the different modalities of artificial intelligence are described and, based on their foundations, applications are presented as shown in various clinical works according to the different phases of stroke. Finally, potentials and projections are explored, along with future perspectives and the associated ethical, technical, and public health policy challenges.</div></div>","PeriodicalId":31544,"journal":{"name":"Revista Medica Clinica Las Condes","volume":"36 3","pages":"Pages 156-162"},"PeriodicalIF":0.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Medica Clinica Las Condes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0716864025000513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Stroke is the second leading cause of death and the first cause of disability in Chile. Given the epidemiological behavior of our country, it is projected that the number of stroke patients will continue to increase in the future, so it is essential to have new public health strategies to address this scenario of high healthcare burden. Artificial intelligence has thus become an extremely useful tool in the management of stroke in its different stages (detection, management, primary and secondary prevention, and rehabilitation). In a narrative way, the different modalities of artificial intelligence are described and, based on their foundations, applications are presented as shown in various clinical works according to the different phases of stroke. Finally, potentials and projections are explored, along with future perspectives and the associated ethical, technical, and public health policy challenges.