This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The decision on aligner changing is based on orthodontists' personal experience and common knowledge that an approximated time span for the aligner have exhausted its biological efficacy. However, a one size fits all approach is not always ideal, as an average determined time is not taken into account of a patient's individual biological response. The aligners could be progressed earlier than the determined time, or they may stay inactive for a while, waiting for the in-office visit. Dental MonitoringTM is the only available technology that provides 3D monitoring of teeth movement, reconstructs 3D digital models remotely, and auto-detect clinical situations by their patented AI algorithms. The investigators have reported high accuracy of DMTM to monitor the tooth movement in vitro. However, the efficacy of DMTM on orthodontic treatment and the accuracy of DMTM in the orthodontic patients has not been investigated yet. In this proposal, the investigators are implementing the Dental MonitoringTM application and 3D tracking of tooth movement powered by AI algorisms as a novel tool to customize aligner changing intervals. The ultimate goal is to reduce in-office visits and treatment duration while maintaining regular monitoring, thus not jeopardizing expected results. It is imperative to investigate the Teledentistry for its effectiveness, reliability, ease of use, patient satisfaction, and value on the overall health and oral health system, especially as a critical tool during public health emergency situations.
Optimizing Clear Aligners Efficiency With Remote Dental Monitoring and Artificial Intelligence Algorithms
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Illinois at Chicago
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.