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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
Exploring knowledge gaps: A mixed-method cross-sectional study on Indian dental students' perspectives and ethical
A Subha1, R Poornima2, M Varshini3
1Department of Conservative Dentistry and Endodontics, Sri Ramakrishna Dental College and Hospital, Affiliated to the Tamil Nadu Dr MGR Medical University, Coimbatore, Tamil Nadu, 641006, India.
Introduction:
In the realm of healthcare, Artificial Intelligence (AI) has emerged as a powerful tool with the potential to enhance diagnostics, treatment planning, and patient care. This comprehensive survey was conducted among dental students in India to better understand their knowledge, attitudes, and perceptions of the integration of AI in dentistry.
Materials And Method:
A structured questionnaire that consisted of both closed-ended and open-ended questions was designed to gather data on the students' demographic information, knowledge, attitudes, and perceptions towards AI in dentistry. Additionally, their perspectives on ethical consideration related to AI use was also evaluated. The survey was carried out using Google Forms among 1256 dentistry students from 15 different states in India. Descriptive statistics, and inferential statistical analysis such as Chi-square test were performed to obtain the results.
Results:
1256 dental students responded to the survey and there was a predominantly positive view towards AI in Dentistry. 94 % believed AI would lead to significant advances in dentistry, with 79 % finding it exciting. AI's diagnostic capabilities were high, with 89 % agreeing it can be used definitively and 85 % for prognostic purposes. Over 90 % supported AI for radiographic diagnosis of dental caries, periodontal disease, jaw pathologies, and soft tissue lesions. However, 59 % disagreed that AI could replace dentists. Knowledge of AI applications increased with the year of study, with postgraduate students showing the highest awareness. However, only 26 % of participants were aware of the ethical implications of using AI in dentistry, while 44 % were unaware and 30 % were unsure.
Conclusion:
Most of the participants were aware of the potential benefits of integrating AI in dentistry. There is a need to focus on educating students about ethical concerns when teaching AI in dental education.
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