Integrating image processing and deep learning framework for automatic supernumerary tooth detection on occlusal radiographs.
Researchers developed an automated system combining image processing and artificial intelligence to detect supernumerary teeth on children's bite-wing radiographs, achieving 96% accuracy with the best-performing model.
A plain-English summary of the study's own findings — we don't add our own claims or interpretation. Read the full paper for the complete methods and results, and apply your own clinical judgement.
Read the full study at the sourceThe Recall — the month's most significant new dental research, summarised. Free.
Browse The Recall