Open Accessstudy and design of intelligent agent in dentistry
Author(s) -
Saundarya Priyadarshini,
Swati Sharma,
Md. Arish,
Ansuiya Warikoo,
Rupali Kalsi,
J. Rohie,
Arpita Srivastava,
Rahul Sinha
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns2.5000
Subject(s) - snowball sampling , logistic regression , psychology , emotional intelligence , dentistry , test (biology) , statistical significance , perception , computer science , statistics , medicine , social psychology , mathematics , machine learning , paleontology , neuroscience , biology
Artificial Intelligence is a branch term for all the developing systems, furnished with human intelligence. Even though Artificial Intelligence can be useful in field of dentistry and can be of help in dental office but is not used extensively. A gap exists in the knowledge regarding application of Artificial Intelligence in Dental offices. Therefore, the present study was carried to determine the factors associated with knowledge and perception regarding use of Artificial Intelligence in dentistry among the dental professionals. Methodology: A cross sectional study was carried on 362 dental professionals of North India. A non-probability Snowball sampling was used. A The face validity and content validity was done for forming the questionnaire of the present study. The final questionnaire consisted of 13 variable, structured, close-ended questionnaire in English of which 7 were knowledge-based, 4 were based on attitude and 2 based on practice. SPSS version20 was used for statistical Analysis. Frequency, percentage was calculated. Chi-Square test was applied to determine factors associated with knowledge attitude and practice of Artificial Intelligence. A spearman’s correlation and Multiple logistic regression was run to assess the corelation between knowledge and practice of AI by the dentist. Statistical significance was kept at p value<0.05.