Results 191 to 200 of about 359,712 (386)

Survival and Success of Teeth Involved in Alveolar Bone Injuries: Up to 10 Years of Follow‐Up

open access: yesDental Traumatology, EarlyView.
ABSTRACT Aim This study aimed to describe the epidemiological characteristics of patients with ABI treated at a specialized dental trauma center between 1998 and 2023; to analyze the survival rate of teeth involved in alveolar bone injuries (ABI) and assess the risks of healing outcomes for these teeth. Materials and Methods In total, 115 patients (367
Cristina Braga Xavier   +5 more
wiley   +1 more source

Evaluation of a 3D‐Printed Model as Complete Case Scenario in Undergraduate Dental Education—Diagnosis, Treatment Planning and Clinical Practice

open access: yesEuropean Journal of Dental Education, EarlyView.
ABSTRACT Introduction 3D‐printed teeth/models are important adjuncts in dental education. Nevertheless, there is a lack of simulated cases to learn and understand complex treatment scenarios, including anamnesis, diagnosis, treatment planning and therapy.
Sebastian Bürklein   +2 more
wiley   +1 more source

Clinical periodontal diagnosis

open access: yesPeriodontology 2000, EarlyView., 2023
Abstract Periodontal diseases include pathological conditions elicited by the presence of bacterial biofilms leading to a host response. In the diagnostic process, clinical signs such as bleeding on probing, development of periodontal pockets and gingival recessions, furcation involvement and presence of radiographic bone loss should be assessed prior ...
Giovanni E. Salvi   +5 more
wiley   +1 more source

Transplantation of labeled periodontal ligament cells promotes regeneration of alveolar bone [PDF]

open access: bronze, 2001
P. Lekic   +4 more
openalex   +1 more source

The Role of Chatbots in Enquiry‐Based Learning for Oral Health Students—An Exploratory Study

open access: yesEuropean Journal of Dental Education, EarlyView.
ABSTRACT Objective This study explores the reliability of four Chatbots in enquiry‐based learning. Four Chatbots, namely Microsoft Copilot, Google Gemini, ChatGPT 3.5 and Perplexity, were used to answer and generate questions in four specific subject areas.
Rohini Khareedi, Daniel Fernandez
wiley   +1 more source

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