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Active Not RecruitingNCT06951152

Knowledge, Perception, Usage And Concerns Of Artificial Intelligence Applications In Periodontology

Knowledge, Perception, Usage And Concerns Of Artificial Intelligence Applications In Periodontology : Cross-Sectional Study Among Periodontists In Egypt

Status
Active Not Recruiting
Phase
Study type
Observational
Enrollment
275 (actual)
Sponsor
Ain Shams University · Academic / Other
Sex
All
Age
Healthy volunteers
Accepted

Summary

Statement of problem: knowledge gap about knowledge, perception ,usage and concerns of artificial intelligence applications in periodontology among periodontists. Aim of the study: To investigate ' periodontists' knowledge, perception , usage and concerns towards AI systems' applications in periodontology. Materials and Methods This will be done by a self-administered, 33-item questionnaire . The questionnaire is divided into five sections.The first section, known as Part A, focus on five open-ended questions on sociodemographic characteristics, where participants enter their age, gender, academic affiliation. Part B consists of closed-ended questions, identifying the basic knowledge of the periodontists participating in AI using a Likert three-point scale (yes / no / maybe) . Part C consists of questions assessing the perception of periodontists towards the use of AI using a Likert three-point scale (yes / no / maybe). Part D consists of questions focusing on the usage of AI applications . part E consists of questions assessing concerns of AI applications in periodontology using a Likert three-point scale (yes / no / maybe) . This study will be conducted in accordance with the code of ethics of the research ethics committee at the faculty of dentistry, at Ain Shams University. This survey aims to assess the knowledge, perception , usage and concerns of AI applications among periodontists. The questionnaire will be distributed to periodontologists in the faculty of dentistry at Ain Shams University. Participants will be voluntary and anonymous. The questionnaire consists of five parts and the average time to complete the questionnaire is 10-12 min

Conditions

Timeline

Start date
2023-09-01
Primary completion
2024-09-01
Completion
2025-09-01
First posted
2025-04-30
Last updated
2025-04-30

Locations

1 site across 1 country: Egypt

Source: ClinicalTrials.gov record NCT06951152. Inclusion in this directory is not an endorsement.