Knowledge, Attitude and Perception Regarding Artificial Intelligence in Periodontology: A Questionnaire Study.

Area of Science:

• Periodontology
• Artificial Intelligence
• Machine Learning

Background:

• Artificial intelligence (AI) and machine learning (ML) are transforming periodontology by aiding in information gathering, risk assessment, treatment planning, and diagnosis.
• Understanding periodontists' current knowledge and acceptance of AI is crucial for its effective integration into the field.

Purpose of the Study:

• To assess periodontists' awareness, knowledge, attitudes, and perspectives regarding the application of AI in periodontology.
• To examine the extent to which periodontists understand and accept AI tools in their clinical practice.

Main Methods:

• An observational study involving 275 periodontists in Maharashtra using a pre-validated questionnaire distributed via Google Forms and social media.
• Data collection included demographic information and 14 closed-ended questions on AI awareness and attitudes, analyzed using SPSS version 22.0.

Main Results:

• A 75% response rate was achieved, with 62% of periodontists aware of AI, though only 24% understood its working principles.
• While most agreed on AI for diagnosis, 69% disagreed with its use for predicting clinical attachment loss.
• 80-82% supported AI in postgraduate training and clinical practice, yet most do not currently use AI for diagnosis or research.

Conclusions:

• Periodontists demonstrate a foundational understanding of AI in periodontology and desire its incorporation into diagnostic and treatment planning.
• Enhanced education is needed to improve periodontists' awareness and skills for effective AI implementation in personalized patient care.
• Integrating AI is expected to improve treatment outcomes in periodontology.