Knowledge, Awareness, and Perception toward Ethical Guidelines for Artificial Intelligence in Biomedical Research and Healthcare among Dental Faculty and Postgraduates – A Cross-sectional Study
Abstract
Background: The integration of Artificial Intelligence (AI) in healthcare is accelerating, necessitating clear ethical frameworks to ensure its responsible use. This study assesses and compares knowledge, awareness, and perceptions of ethical guidelines for AI in healthcare among dental faculty and postgraduate students. Materials and Methods: A multi-center cross-sectional design was adopted. According to the comparable study, the sample size was estimated to be 330 participants. A self-validated questionnaire was used, which consists of 29 closed-ended questions. The reliability of the questionnaire was evaluated with a Cronbach’s α value of 0.85, face validity of 85%, and content validity ratio of 0.75. Results: The mean knowledge scores were comparable between postgraduates (2.38 ± 0.92) and faculty (2.52 ± 0.67), showing no significant difference (P = 0.603). However, faculty exhibited significantly higher awareness (59.23 ± 14.17) and perception scores (17.98 ± 3.84) compared to postgraduates (47.78 ± 10.54 and 13.87 ± 5.04, respectively), with both differences being statistically significant (P < 0.001). A strong positive correlation was obtained between awareness and perception, and a moderate correlation between knowledge and attitude (r = 0.284, P < 0.001). Conclusion: Based on the results of our study, the dental faculty demonstrated higher awareness and perception toward AI ethics compared to postgraduate students. Hence, implementation of structured AI ethics modules in dental education, aligned with national and international guidelines, is crucial to ensure the responsible usage of AI in healthcare.
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BibTeX
@article{sakthi2026knowledge,
title = {{Knowledge, Awareness, and Perception toward Ethical Guidelines for Artificial Intelligence in Biomedical Research and Healthcare among Dental Faculty and Postgraduates – A Cross-sectional Study}},
author = {Karthiga Sakthi and Roopali M. Sankeshwari and Anil V. Ankola and Biswadeep Roychowdhury and Siva Shankkari and Dorothy Dutta and Prajakta Chavan},
journal = {Journal of Indian Association of Public Health Dentistry},
year = {2026},
month = jul,
doi = {10.4103/jiaphd.jiaphd_24_26},
url = {https://doi.org/10.4103/jiaphd.jiaphd_24_26},
note = {CC BY-NC-SA},
}
RIS
TY - JOUR
TI - Knowledge, Awareness, and Perception toward Ethical Guidelines for Artificial Intelligence in Biomedical Research and Healthcare among Dental Faculty and Postgraduates – A Cross-sectional Study
AU - Karthiga Sakthi
AU - Roopali M. Sankeshwari
AU - Anil V. Ankola
AU - Biswadeep Roychowdhury
AU - Siva Shankkari
AU - Dorothy Dutta
AU - Prajakta Chavan
PY - 2026
DA - 2026/07/01
JO - Journal of Indian Association of Public Health Dentistry
DO - 10.4103/jiaphd.jiaphd_24_26
UR - https://doi.org/10.4103/jiaphd.jiaphd_24_26
AB - Background: The integration of Artificial Intelligence (AI) in healthcare is accelerating, necessitating clear ethical frameworks to ensure its responsible use. This study assesses and compares knowledge, awareness, and perceptions of ethical guidelines for AI in healthcare among dental faculty and postgraduate students. Materials and Methods: A multi-center cross-sectional design was adopted. According to the comparable study, the sample size was estimated to be 330 participants. A self-validated questionnaire was used, which consists of 29 closed-ended questions. The reliability of the questionnaire was evaluated with a Cronbach’s α value of 0.85, face validity of 85%, and content validity ratio of 0.75. Results: The mean knowledge scores were comparable between postgraduates (2.38 ± 0.92) and faculty (2.52 ± 0.67), showing no significant difference (P = 0.603). However, faculty exhibited significantly higher awareness (59.23 ± 14.17) and perception scores (17.98 ± 3.84) compared to postgraduates (47.78 ± 10.54 and 13.87 ± 5.04, respectively), with both differences being statistically significant (P < 0.001). A strong positive correlation was obtained between awareness and perception, and a moderate correlation between knowledge and attitude (r = 0.284, P < 0.001). Conclusion: Based on the results of our study, the dental faculty demonstrated higher awareness and perception toward AI ethics compared to postgraduate students. Hence, implementation of structured AI ethics modules in dental education, aligned with national and international guidelines, is crucial to ensure the responsible usage of AI in healthcare.
SN - 2319-5932
SN - 2350-0484
ER -