Primary study · included by 1 review

Convolutional Neural Network-Based Deep Learning Methods for Skeletal Growth Prediction in Dental Patients.

Mohammed 2024 · Mohammed Miran Hikmat, Omer Zana Qadir, Aziz Barham Bahroz, et al. · Journal of imaging · 2024

Included by

Outcome this study informsPooled effectEvidenceCertainty
Pooled accuracy
AI models (best model per study) applied to lateral cephalometric and/or hand-wrist radiographs to identify the pubertal growth spurt (three-class pre-spurt, spurt, post-spurt scheme) vs Reference staging by expert assessment (CVM, Fishman SMI, Grave and Brown, DRU or other validated standards)
Accuracy (proportion) 0.83 [0.76, 0.89]21 studiesGRADE not reported

1 including review in total.