AI Tool for Detecting Tooth Decay in Dental Training
Part of Mouth & dental clinical trials.
This study tests whether artificial intelligence can help dental students and residents better detect early tooth decay (cavities) between teeth. Participants will learn to use an AI tool and compare it to traditional detection methods to see if it improves accuracy.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You must be a dental student in your 2nd, 3rd, or 4th year at University of Michigan School of Dentistry, OR a dental resident/junior faculty with at least 2 years of clinical experience outside dental school
- You must have prior experience detecting tooth decay (cavities) in your training
- You must be willing to participate in all study activities for the full duration
- You must be able to provide informed consent and follow all study procedures
- If you're a dental resident, you cannot specialize in orthodontics, periodontics, or oral surgery
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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