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ISSN 2063-5346
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Assessment of knowledge & perception of Indian Oral medicine & radiologist regarding the role of artificial intelligence in oral medicine clinical practice-A Cross sectional descriptive study

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Dr. Ashwini Nerkar Rajbhoj, Dr. Pallavi Channe, Dr. Anagha Shete, Dr. Mrinal Shete, Dr. Abhijeet Sande, Dr. Shubhangi Rajbhoj
» doi: 10.31838/ecb/2023.12.sa1.206

Abstract

The present study was conducted to assess knowledge & perception of Indian Oral medicine & radiologist regarding the role of artificial intelligence in oral medicine clinical practice Settings and Design: The present study included a rapid, short cross-sectional online survey. It was conducted using web-based survey platform called Google Forms. Methods and Material: A total of 250 Oral medicine & radiologist -‘s were selected by simple random method for participating in the study. A self-administered, 18-point questionnaire in the form of online survey was used, to assess the knowledge & perception of Indian Oral medicine & maxillofacial radiologist Statistical analysis used: Results were documented and statistically analysed using chisquare and Kruskal-Wallis test. Results: Overall knowledge was found to be more in the participants with experience of more than 5years and amongst Academician’s. The perception of accepting use of AI in day to day clinical practice was seen more amongst Academician & Clinician’s. Conclusions: During the course of the study, high level of knowledge & perception was seen regarding application of Artificial in oral medicine clinical practice .A significant association between years of experience and type of profession could be noted.

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