Diagnostic accuracy of computed tomography (CT)-based radiomics and artificial intelligence (AI) models in hepatocellular carcinoma: a systematic review and meta-analysis
GastroenterologiaSobre o estudo
- Desenho
- Metanálise
- Nível de evidência
- 1 · Evidência consolidada
- Revista
- Clinical radiology
- Publicado em
- 8 ago 2025
- Citações
- 6
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 accuracy of computed tomography (CT)-based radiomics and artificial intelligence (AI) models in hepatocellular carcinoma: a systematic review and meta-analysis
K Sweta, W Dkhar, R Kadavigere, A Pradhan, K Nayak, S Sukumar, N A Barnes
Descritores MeSH
- Liver Neoplasms
- Carcinoma, Hepatocellular
- Tomography, X-Ray Computed
- Artificial Intelligence
- Humans
- Radiomics
- Sensitivity and Specificity
Veja também
Estudos relacionados
- Advancing Diagnostic Accuracy in Liver Cancer: A Systematic Review of Artificial Intelligence Applications in Hepatocellular Carcinoma and Cholangiocarcinoma Detection Using Abdominal CT Imaging
- Comparison of Diagnostic Accuracies of Radiomics and Non-radiomics Model for Preoperative Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
- A systematic review of comparisons of AI and radiologists in the diagnosis of HCC in multiphase CT: implications for practice
- The Diagnostic Accuracy Between Radiomics Model and Non-radiomics Model for Preoperative of Microvascular Invasion of Solitary Hepatocellular Carcinoma: A Systematic Review and Meta-analysis