
Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis
NeurologiaSobre o estudo
- Desenho
- Metanálise
- Nível de evidência
- 1 · Evidência consolidada
- Revista
- BMC medical informatics and decision making
- Publicado em
- 11 nov 2025
- Citações
- 5
O resumo deste estudo é do publisher e não tem licença aberta: por isso mostramos aqui só os dados do estudo, e o texto fica na fonte original, nos links abaixo.
O estudo original
Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis
Yuyao Feng, Leyin Xu, Jiang Shao, Lin Wang, Huanyu Dai, Chaonan Wang, Kang Li, Keqiang Shu, Junye Chen, Yuru Wang et al.
Descritores MeSH
- Artificial Intelligence
- Carotid Artery Diseases
- Carotid Stenosis
- Plaque, Atherosclerotic
- Humans
- Sensitivity and Specificity
Veja também
Estudos relacionados
- Histologically Verified Carotid Plaque Characteristics by Ultrasound: A Diagnostic Accuracy Systematic Review
- Artificial Intelligence-assisted Diagnosis of Carotid Artery Calcifications on Panoramic Radiographs: A Meta-analysis
- Magnetic resonance angiography-detected vulnerable plaque features at 3.0 T field strength are associated with symptomatic presentation in carotid artery disease: A systematic review and meta-analysis
- The role of shear wave elastography in the assessment of carotid plaque vulnerability: a systematic review and meta-analysis