Categories
Change Password!
Reset Password!
Artificial intelligence is steadily entering dental clinics, but a new survey reveals that while residents see AI as a powerful aid for spotting hidden radiographic details, formal training in the technology remains strikingly absent.
From decoding radiographs within seconds to assisting clinicians in treatment planning, artificial intelligence (AI) is expeditiously becoming one of the most talked-about breakthroughs in dentistry. The technology is transforming how clinicians interpret clinical data, detect abnormalities, and improve diagnostic precision.
Investigators evaluated how well dental residents understood AI, how aware they were of its clinical applications, and whether they trusted its role in diagnosis and treatment planning. A cross-sectional survey was designed targeting dental residents at the study center. Using a structured 20-question digital questionnaire, they gathered information on participants’ familiarity with AI concepts, previous exposure to AI-related activities, and perceptions regarding its use in dental practice.
The survey findings highlighted limited formal AI exposure among residents, alongside growing optimism regarding the future diagnostic potential of AI in radiology practice. Overall, 32 residents took part in the survey, including 26 female residents and 6 male residents. Key findings are depicted in Table 1.
The study highlighted a transitional phase in modern dentistry where enthusiasm for AI is growing faster than educational preparedness. Dental residents appeared willing to embrace AI-assisted practice, especially for enhancing diagnostic accuracy. Researchers also emphasized that integrating foundational AI education into dental programs may become essential for preparing future clinicians to navigate an increasingly technology-driven healthcare landscape.
BMC Oral Health
Knowledge and awareness of dental residents regarding the applications of artificial intelligence for diagnosis and treatment planning- a cross-sectional survey
Faiza Ali et al.
Comments (0)