O papel da neurovisualização na monitorização do risco de AVC entre atletas: uma revisão
DOI:
https://doi.org/10.47197/retos.v70.116821Palavras-chave:
NeuroVisualização, acidente vascular cerebral, atleta, inteligência artificial, biomarcadores de imagemResumo
Introdução: este estudo abordou o papel emergente da neurovisualização na avaliação e mitigação do risco de ictus em atletas, uma poblação cada vez mais exposta ao stress neurovascular devido à atividade física intensa. o tema foi relevante para o crescente reconhecimento de alterações cerebrovasculares subclínicas em contextos desportivos.
Objectivo: o objectivo da investigação foi explorar a integração de técnicas avançadas de neuroimagiologia e inteligência artificial para melhorar a detecção temporária, a monitorização longitudinal e a previsão do risco de eventos cerebrovasculares em populações atléticas.
Metodologia: foi realizada uma revisão sistemática da literatura, centrada em estudos que aplicam ressonância magnética funcional, imagem por tensor de difusão, angiografiía por tomografiía computarizada e outras modalidades em combinação com análise preditiva e modelos de aprendizagem automática. aplicam-se critérios de inclusão para filtrar investigações relevantes que envolveram um atleta e monitorizarão cerebrovascular.
Resultados: os principais resultados indicam que os biomarcadores de imagem como as microhemorragias, os défices de perfusão e as alterações da substância branca podem ser detetados e interpretados eficazmente através de modelos de inteligência artificial. Os dados de dispositivos portáteis integrados com neuroimagiologia melhoram ainda mais a precisão das avaliações preditivas.
Discussão: os hallazgos foram consistentes com estudos anteriores que suportaram o uso de imagens multimodais e ferramentas computacionais na avaliação do risco de ictus. No entanto, a heterogeneidade dos dados e a transparência algorítmica são identificadas como desafios persistentes na literatura revista.
Conclusões: conclui-se que a integração da neurovisualização com a análise preditiva oferece um marco promissor para a gestão proativa da saúde cerebral em atletas e deve continuar a desenvolver e a padronizar na prática clínica.
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