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
<b>Background/Objective</b>: Preoperative prediction of third molar eruption with artificial intelligence (AI) has been a challenge in dentistry and oral surgery. <b>Methods</b>: 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. <b>Results</b>: 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. <b>Conclusions</b>: 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 · 3.642 Zit.
The burden of oral disease: challenges to improving oral health in the 21st century.
2005 · 3.579 Zit.
Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions
2018 · 3.064 Zit.
Osseointegrated Titanium Implants:<i>Requirements for Ensuring a Long-Lasting, Direct Bone-to-Implant Anchorage in Man</i>
1981 · 2.647 Zit.