Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Prediction of Lower Third Molar Eruption in Panoramic Radiography Using Artificial Intelligence (AI): PDApp
0
Zitationen
5
Autoren
2026
Jahr
Abstract
Background/Objective: Preoperative prediction of third molar eruption with artificial intelligence (AI) has been a challenge in dentistry and oral surgery. Methods: In this investigation, we used machine learning (ML) algorithms to characterize M3 panoramic radiological images for the preoperative differential diagnosis of third nolar eruption/retention and compared them with clibical explorations to validate their performance. Results: We retrospectively collected data of patients with mandibular thid molar retention, where all eruption diagnoses were confirmed via clinical exploration. A total of 383 panoramic radiographies were selected to train the PDApp software for eruption diagnosis for the software validation. Conclusions: The PDApp software achieved the highest performance metrics for the prediction of mandibular third molar eruption
Ähnliche Arbeiten
The long-term efficacy of currently used dental implants: a review and proposed criteria of success.
1986 · 3.692 Zit.
The Gingival Index, the Plaque Index and the Retention Index Systems
1967 · 3.662 Zit.
The burden of oral disease: challenges to improving oral health in the 21st century.
2005 · 3.579 Zit.
Staging and grading of periodontitis: Framework and proposal of a new classification and case definition
2018 · 3.115 Zit.
Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions
2018 · 3.106 Zit.