Results 211 to 220 of about 76,793 (282)

Comparative analysis of transformer, CNN, and YOLO architectures for mandibular condyle segmentation on panoramic radiographs: a deep learning benchmark. [PDF]

BMC Oral Health
Yilmaz S, Ozturk HP, Ozgedik HS, Avsever IH, Senel B, Tasyurek M, Kurt MH.   +6 more
europepmc   +1 more source

Comparative Assessment of Forensic Odontology Awareness Among Dental and Medical Students in Turkey

European Journal of Dental Education, EarlyView.
ABSTRACT Introduction This study aimed to assess and compare the awareness and knowledge of forensic odontology among dental and medical students in Turkey with a focus on identifying educational gaps and evaluating interdisciplinary readiness. Materials and Methods A cross‐sectional web‐based survey was conducted with 234 students (144 dental and 90 ...
Emine Nur Kahraman, Büşra Yılmaz
wiley   +1 more source

Artificial Intelligence in the Radiological Diagnosis of Impacted Maxillary Canines: A Systematic Review. [PDF]

J Clin Med
Jedliński M, Jedliński A, Rostkowski G, Janiszewska-Olszowska J, Mazur M.   +4 more
europepmc   +1 more source

Digital Learning Meets Diagnostic Dentistry: A Mixed‐Methods Study to Evaluate Intraoral Periapical Radiograph Interpretation

European Journal of Dental Education, EarlyView.
ABSTRACT Introduction Despite increased use of e‐learning, its value in developing practical diagnostic competencies, particularly in oral radiology, remains unclear. The purpose of this study was to evaluate changes in students' IOPAR interpretation scores and structured reporting after participation in an interactive, self‐directed e‐learning module.
Swarna Yerebairapura Math, Jia Yi Yong, Zee Hoe Teh, Preena Sidhu, Omer Sheriff Sultan, Mohd Fadzil Bin Zainal Anuar, Devarasa Murugeshappa, Camila Pacheco‐Pereira   +7 more
wiley   +1 more source

Evaluation of artificial intelligence based prosthetic innovation on dental implants: A database research. [PDF]

Bioinformation
Gohil J, Prabhakaran S, Agrawal N, Ganesh M, Reddy Gudimetla SRS, Nagappa R, Tiwari R.   +6 more
europepmc   +1 more source

Artificial intelligence for detection and segmentation of accessory root canals in endodontic imaging: A systematic review

European Journal of Oral Sciences, EarlyView.
Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães, Karla Nogueira Matos   +1 more
wiley   +1 more source

Periapical Bone Loss as a Signal of Risk for Prosthetic Screw Loosening in Full-Arch Implant-Supported Fixed Complete Dentures: A Multicenter Retrospective Pilot Study. [PDF]

Cureus
Ngamdumrongkiat P, Urapepon R.
europepmc   +1 more source

Comminuted fractures of the proximal phalanx in horses: A multicentre retrospective review

Equine Veterinary Education, EarlyView.
Summary Background Comminuted fractures of the proximal phalanx (CFPP), defined as the presence of three or more major fracture fragments, present difficult management challenges. Feedback from practitioners and long‐term follow‐up can be helpful to reassess evidence‐based treatment strategies and improve clinical outcomes.
C. de Chaisemartin, M. Farfan, B. Dal Cero, A. Martens, F. Rossignol, A. Kalinovskiy, C. Lischer, C. Tessier, S. Grulke, G. Manneveau, V. Gouzer, G. Gomez, J. Samsel, C. Mespoulhes‐Riviere, F. Pichereau, L. Alfonso Gracia Calvo, M. Trécu, A. Spadaro Rossello, P. Planes, X. Peyrecave, C. Mansuy, C. Henry‐Perin, A. Guezennec, M. C. Schramme   +23 more
wiley   +1 more source

A Modified Expandable Headgear-Activator for Combined Adenotonsillar Hypertrophy and Bimaxillary Constriction: Insights from a 9-Year Follow-Up. [PDF]

Clin Cosmet Investig Dent
Qiu T, Sun M, Luo Y, Fang T, Liu X.
europepmc   +1 more source

Deep learning detection of ectopic canines and molars in mixed dentition. [PDF]

Sci Rep
Gülşen E, Kızılay FN, Aşar EM, Gülşen İT, Özüdoğru S, Ünal T, Kuran A, Kendigelen B, Uğurlu M, Bayrakdar İŞ, Çelik Ö, Orhan K.   +11 more
europepmc   +1 more source