Publications by authors named "Saad Al Zubaidi"
Introduction In the modern era, technology, including artificial intelligence (AI), is the centre of digital innovation. AI is revolutionising numerous fields, including the healthcare sector, globally. Incorporating AI in dental education may help in improving the diagnostic accuracy, learners' experiences, and effectiveness of the management of dental education institutions.
View Article and Find Full Text PDFBackground: The educational process in the field of endodontics commences with preclinical exercises to enhance students' proficiency in cleaning, shaping, and performing root canal fillings. Therefore, this study aimed to radiographically evaluate the technical quality of root canal fillings performed by preclinical students on extracted teeth at the College of Dentistry, University of Ha'il, Saudi Arabia.
Methods: A total of 788 extracted human teeth received root canal treatment by undergraduate students.
Background: The goal of the present research was to employ CBCT imaging to assess the root and canal anatomy of maxillary second molars in a population from the Hail province of Saudi. The effects of gender and side were taken into account.
Methods: The investigation included a sample size of 499 completely developed right and left untreated maxillary second molars obtained from 250 Saudi people.
Background: The study's goal was to use Cone Beam Computed Tomography (CBCT) to assess the root and root canal anatomy of mandibular second molars with C-shaped root canal configurations in residents of the Hail district. The impact of gender and side on the frequency of root canal morphology was considered.
Methods: The sample size for this study was 304 untreated mandibular second molars with completely developed roots on the right and left sides.
Objectives: The efficacy of root canal therapy is dependent on a thorough understanding of both normal and aberrant root canal morphology. As a result, the purpose of this study was to use CBCT to characterize the exact root and canal morphology of mandibular premolars in a Saudi subpopulation.
Methods: The current study included 1000 mandibular premolars (507 first premolars and 493 second premolars) with completely developed roots.
Background: Optimum oral health is impossible to achieve without managing dental caries. The first step to manage dental caries at a community level is to know its prevalence and trend. Unfortunately, the prevalence of dental caries at the national/regional level is not known in many developing countries.
View Article and Find Full Text PDFBackground: The objective of this study was to use CBCT to look into the root canal morphology of maxillary premolars in a Saudi Arabian subpopulation and associate the results to existing canal morphology classifications.
Methods: The sample size for this analysis was 500 right and left untreated maxillary first and second premolars with fully formed roots from 250 Saudi residents (125 male and 125 female). The following observations were made using CBCT on the teeth related: (1) The number and morphology of roots; (2) The canal morphology for each root according to Vertucci's classification.
Aim: This study was aimed to evaluate the oral health status and knowledge of diabetic and nondiabetic patients attending dental clinic at College of Dentistry, Hail, the Kingdom of Saudi Arabia.
Materials And Methods: It was an observational cross-sectional study. Using nonprobability convenient sampling technique, data were collected from 202 respondents.