
Diagnostic and prognostic performance of artificial intelligence and radiomics in ankylosing spondylitis: a systematic review and meta-analysis
OrtopediaSobre o estudo
- Desenho
- Metanálise
- Nível de evidência
- 1 · Evidência consolidada
- Revista
- Journal of robotic surgery
- Publicado em
- 19 jan 2026
- Citações
- 0
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
Diagnostic and prognostic performance of artificial intelligence and radiomics in ankylosing spondylitis: a systematic review and meta-analysis
Lei Wang, Songyang Wang, Xuanzhe Yang, Yan Zhao, Feng Zhang, Zixiang Wu, Xiong Zhao
Descritores MeSH
- Machine Learning
- Radiomics
- Artificial Intelligence
- Spondylitis, Ankylosing
- Magnetic Resonance Imaging
- Prognosis
- Sensitivity and Specificity
- Humans
Veja também
Estudos relacionados
- Systematic review and epistemic meta-analysis to advance binomial AI-radiomics integration for predicting high-grade glioma progression and enhancing patient management
- AI for prognosis and treatment stratification in glioblastoma neurosurgery: a systematic review
- Comparing Traditional Versus AI-Assisted TMJ Disorder Management Approaches: A Systematic Review and Meta-Analysis
- Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review