Dentists’ Knowledge, Attitude, and Perception Regarding Robotics and Artificial Intelligence in Oral Health and Preventive Dentistry: A Cross-sectional Study

Autor: G Krishnaprakash, Praveen Jodalli, Rekha P Shenoy, Imran Pasha Mohammed, Junaid, Supriya Amanna
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Clinical and Diagnostic Research, Vol 17, Iss 7, Pp 47-51 (2023)
Druh dokumentu: article
ISSN: 2249-782X
0973-709X
DOI: 10.7860/JCDR/2023/63299.18239
Popis: Introduction: Robotics (R) is concerned with the linkage between perception and action, and Artificial Intelligence (AI) plays a significant role in enabling this intelligent relationship. In dentistry, AI has primarily been utilized to enhance diagnostic procedures, which are crucial for achieving favorable treatment outcomes and providing excellent patient care. Aim: The aim of this cross-sectional study was to assess the Knowledge, Attitude, and Perception (KAP) of dentists towards R and AI in oral health and preventive dentistry. Materials and Methods: The study was conducted at the Department of Public Health Dentistry, Yenepoya Dental College, Mangalore, Karnataka, India. The duration of the study was three months, from March 2022 to June 2022. A closed-ended, self-administered questionnaire using Google Forms was distributed among 161 dental professionals in South India. The questionnaire included items related to KAP towards the use of R and AI in preventive dentistry and oral health. Descriptive analysis was performed, and oneway Analysis of Variance (ANOVA) was used to compare mean values. Tukey’s post-hoc test was employed for group comparisons. Results: The mean age of the participants was 30.17±9.18 years. Out of the 161 participants (70 males and 91 females), 133 (82.6%) had heard about R and AI in dentistry, but only 78 (48.4%) were aware of the differences between R and AI. Among the dentists, 74 (46%) believed that AI might have a future in India, and 145 (90.6%) responded that R and AI were useful during the COVID-19 pandemic. Additionally, 97 (60.6%) participants expressed willingness to be treated by R and AI if necessary, and 107 (66.9%) would prefer to receive lectures or workshops from a robot. Tukey’s post-hoc test revealed that the staff’s knowledge and attitude were significantly higher than those of interns, postgraduates, and private practitioners (p
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