Application and Validation of a Smartphone-based Deep Learning System for Oral Potentially Malignant Disorders and Oral Cancer Screening

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age19+
SponsorNational Taiwan University Hospital

About this trial

The goal of this clinical trial is to learn if smartphone-based deep learning system works to accurately detect oral potentially malignant disorders and oral cancer in adults. It will also learn about if it is as effective as assessments conducted by dentists and non-certified health provider.

We expect that the deep learning system will have higher sensitivity in detecting oral potentially malignant disorders and oral cancer, where as the dentists and non-certified health providers will exhibit higher specificity in screening.

Participants will be grouped into three arms: deep learning system (arm A) or board-certified dentist with deep learning system (arm B) or non-certified health providers (general practitioners) with deep learning system (arm C).

Oral cancer risk factors, such as habits of smoking or having chewed betel nut or alcohol drinking, would be recorded by anonymous questionnaires.

Eligibility criteria

Qualifiers

Adult patients (age ≥18) visiting cancer screening center

Disqualifiers

Unable to cooperate to fully open mouth/ navigate tongue

Unable to cooperate for the assessment

Trial design

Treatments tested in this trial

  • Smartphone-based deep learning system

Treatment groups

954 Participants
are divided into 3 treatment groups