About this trial
Dental caries (dental cavity) is very common and can impact oral health and oral health-related quality of life. Dental caries is when the tooth surfaces break down, and if left untreated, can cause tooth pain. In routine clinical practice, dental professionals typically assess caries lesions by looking at patients' teeth, touching the areas of interest with a dental probe, and running a probe over the teeth to check the buildup of bacteria.
Dentists often use x-rays to help find cavities, and they can also take pictures of the teeth to show what the problem looks like.
New tools called intraoral scanners are becoming more useful for finding cavities. These scanners do not use radiation and do not hurt. Some computer programs that use artificial intelligence (AI) can also help dentists find cavities. AI can study the spots on patients' teeth and help make better, faster decisions. The purpose of this study is to collect data that will be used to develop and test an AI software that can help dentists in the detection of caries.
Eligibility criteria
Qualifiers
Willing and able to give informed consent for participation in the study
Male or female, aged 18 years or above
Patients looking for dental treatment
Good general health (i.e. absence of any condition that the Principal Investigator evaluates as a risk either to the subject or to the data quality)
Disqualifiers
Patients with orthodontic appliances and permanent retainers
Any other significant disease or disorder which, in the opinion of the Investigator, may either put the participants at risk because of participation in the study, or may influence the result of the study, or the participant's ability to participate in the study)
Patients who are not able or willing to sign the Informed Consent
Patients who are currently pregnant. A urine pregnancy test will be administered during the study visit for woman who could be pregnant
Trial design
Treatments tested in this trial
- N/A as observational study
Treatment groups
Locations
Sponsors and collaborators
3Shape A/S
Lead sponsor
New York University
Collaborator