Primary study · included by 1 review
The Role of Machine Learning to Detect Occult Neck Lymph Node Metastases in Early-Stage (T1-T2/N0) Oral Cavity Carcinomas.
Troise 2025 · Troise Stefania, Ugga Lorenzo, Esposito Maria, et al. · Head & neck · 2025
Included by
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
Sensitivity AI-based algorithms (radiomics machine learning or deep learning) applied to MRI vs Histopathology reference standard (cervical lymph node status) | Sensitivity 0.71 | 7 studies | GRADE not reported |
Sensitivity AI-based algorithms (radiomics machine learning or deep learning) applied to MRI vs Histopathology reference standard (cervical lymph node status) | Sensitivity 0.72 [0.62, 0.80] | 7 studies · 548 participants | Low |
Sensitivity AI-based algorithms (radiomics machine learning or deep learning) applied to MRI vs Histopathology reference standard (cervical lymph node status) | Sensitivity 0.725 | 6 studies | GRADE not reported |
1 including review in total.