An observational study in Radiography, Digital and Dental Diseases, sponsored by National Taiwan University Hospital. Status unknown at 1 site in Taiwan. Open to participants aged 20 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2021-05-20.
Sponsored by National Taiwan University Hospital · Observational
In this work, the investigators study the application of artificial intelligence systems on dental panoramic images for dental findings. An artificial intelligence system will be learned on an publicly available panoramic image dataset, and test against the investigators' local patient cohort as external test data. The investigators hypothesize the performance would be similar, if not identical to on the public data, and that the investigators' AI system is generalizable.
110 studies on the registry are indexed under Stomatognathic Diseases; 26 are open to participants now.
This study's planned enrollment of 1,000 is above the median of 209 across 22 observational studies indexed under Stomatognathic Diseases.
Browse Stomatognathic Diseases studies →National Taiwan University Hospital is the lead sponsor of 2,563 studies on the registry; 569 are open to participants now.
Of its 11 completed or terminated interventional studies of FDA-regulated products, 2 (18%) have results posted.
Counted across the registry records on this site, refreshed daily.
all patients with panoramic image exposure and not with exclusion criteria
Exclusion Criteria:
Radiation: Dental Panoramic Radiographs
Exposure to dental panoramic radiographs
Area Under Curve for Receiver Operating Characteristics of Clinical Findings
The investigators use the AI model to infer whether a clinical finding (out of the six type of findings the investigators are interested in) is present in an imaging study from the test set. The result is compared against expert annotation and evaluated for receiver operating characteristics over the whole set. The area under curve will then be calculated and averaged across six type of findings to represent the overall efficacy of the model on detecting findings from panoramic images. From a scale of zero to one, zero is the worst this metric can be and one is the best.
Time frame: 1 day
Plan to share: No
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This study is status unknown, as verified in May 2021. You cannot join it, but the record below documents what was studied.
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National Taiwan University Hospital