Primary study · included by 1 review
Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment
Lee 2022 · Lee Suk-Cheol, Hwang Hyeon-Shik, Lee Kyungmin Clara · Progress in Orthodontics · 2022
Included by
| Outcome this study informs | Pooled effect | Evidence | Certainty |
|---|---|---|---|
Pooled sensitivity AI-based diagnostic algorithms (machine learning, deep learning, radiomics) applied to CBCT, OPG, MRI or clinical data vs Traditional diagnostic reference standard (clinical examination per RDC/TMD or DC/TMD, expert radiologist or clinician consensus) | Sensitivity 0.751 [0.703, 0.794] | 5 studies · 866 participants | GRADE not reported |
Pooled sensitivity AI-based diagnostic algorithms (machine learning, deep learning, radiomics) applied to CBCT, OPG, MRI or clinical data vs Traditional diagnostic reference standard (clinical examination per RDC/TMD or DC/TMD, expert radiologist or clinician consensus) | Change in pooled sensitivity (leave-one-out delta) -0.014 | 4 studies | GRADE not reported |
1 including review in total.