Knowledge, Attitudes And Perceptions Of Intern And Dental Practioners In Saudi Arabia Towards Artificial Intelligence
Background: Artificial Intelligence, has evolved as a reality in the field of healthcare. Incorporation of AI in healthcare industry dates back to early 1950s, when health professionals attempted to improve their analysis by means of computer-assisted programs.
AI may aid in proper diagnosis of a wide array of dental diseases like aphthous ulcer, internal derangement of the temporomandibular joint, identification of patients with high propensity to develop oral premalignant lesions and conditions or oral cancers, may be incorporated as patient management software, managing patients follow up and online emergency health consultancy, etc.
Despite its promises, dental practitioners have mixed thoughts and perception regarding the implementation of AI.
Objectives: The current study was thus conducted to evaluate the responses of interns and dental surgeons from Saudi Arabia regarding their knowledge, attitudes, and perceptions regarding the future of AI.
Methodology: The present study was conducted on 200 interns and dental practitioners studying or practicing in KSA. A structured questionnaire comprising of 15 closed-ended questions was circulated among interns and dental practitioners.
The survey included questions pertaining to participant’s knowledge, attitude towards AI and their perceptions regarding the future of AI in dentistry. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 26.0. The readings were recorded in master chart, and the data analysis was carried out statistically.
Results: The study was conducted on 200 candidates’ interns and dental practitioners studying or practicing in KSA. 148 candidates (74%) were familiar with the concept of artificial intelligence. 129 candidates (64.5%) were aware of the application of AI in medical and dental field.
Major chunk of the study sample (n=160, 80%) agreed to all the benefits of AI including faster diagnosis, ability to retrieve clinically relevant high quality data and minimal error. According to 171 candidates (85.5%), application of AI would be valuable. 158 candidates (79%) agreed with the ability of AI to evaluate fine details on radiograph often missed by practitioners. Only 89 candidates (44%) agreed that the diagnostic ability of AI is better than clinical experience of doctor.
Conclusion: The present study concluded that dental professionals were familiar with the concept of AI. AI technology can be used as an ancillary tool to augment diagnostic precision and treatment planning. Educational workshops in form of lecture and seminars must be structured for a better understanding, development, implementation and use of AI in dentistry.