Diagnostic Performance of Ai vs Junior Dentists

November 7, 2026 updated by: Susan Hattar, University of Jordan

Comparison of Artificial Intelligence vs. Junior Dentists Diagnostic Performance for Radiographic Caries & Periapical Lesion Detection

OBJECTIVES

  • Compare diagnosis of Periapical lesions & Proximal caries by AI and junior dentists
  • Evaluate Validity of a deep learning based convolutional neural network (CNN) for detecting proximal caries lesions, periapical lesions compared to junior dentists.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Statement of problem Current evidence supports the use of AI as a valuable diagnostic platform adjunct for detecting periapical lesions. However, well-designed, high-quality randomized clinical trials are required to assess the potential implementation of AI in the routine practice of periapical lesion diagnosis. In addition, most studies were done on OPG and CBCT not on periapical radiographs. Evidence suggests that AI-assisted systems are effective in detecting large, distinct periapical lesions. However, their performance drops in more complex cases, such as with root-filled teeth and in small periodical lesions The performance of AI in caries detection remains moderate, and its periapical status assessment is insufficient due to high false-positive rates

Research Questions

  • Does Trained AI outperform junior dentists in basic diagnostic tasks, specifically in detecting tooth caries and periapical lesions through radiographic interpretation?
  • Does AI increase the accuracy of lesion detection?
  • Is AI more accurate than junior dentists in detecting carious lesions or periapical lesions?
  • Is there a difference between diagnosis of Caries vs Periapical lesions through AI tools compared to junior dentists?

Study Type

Observational

Enrollment (Estimated)

120

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Amman, Jordan, 11181
        • The university of Jordan

Participation Criteria

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.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients over 18 years of age that were clear and displayed the full anatomical crown and root apex.

Description

Inclusion Criteria:

  • Bitewings obtained from patients treated at Jordan University Hospital. Only bitewings of permanent maxillary and mandibular teeth, with the crowns of both dental arch being detectable. Coronal part of the tooth had to be in toto visible on the radiograph and that no structure is projected on the examined tooth, teeth with overlap free projection selected
  • Periapical Radiographs: patients over 18 years of age that were clear and displayed the full anatomical crown and root apex.

Exclusion Criteria:

  • Radiographs of deciduous teeth or mixed dentition, those with severe noise or haziness, radiographs of partially edentulous areas, teeth exhibiting abnormal crown or root anatomy, and any radiographs that were difficult to assess.
  • Overlapping images, radiographs with distortions, noise and shadows, and low quality radiographs
  • Radiographs excluded if at least 2-3 examiners did not agree.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: COHORT
  • Time Perspectives: CROSS_SECTIONAL

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
(ROCAUC)
Time Frame: 12 months

Receiver-Operating-Characteristics curve

12 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic test parameters
Time Frame: 12 months

Sensitivity, Specificity, PPV, NPV

12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Director: Susan Hattar, PhD, University of Jordan

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

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.

Study Major Dates

Study Start (Estimated)

November 1, 2026

Primary Completion (Estimated)

July 1, 2027

Study Completion (Estimated)

October 1, 2027

Study Registration Dates

First Submitted

October 24, 2026

First Submitted That Met QC Criteria

October 24, 2026

First Posted (Actual)

October 30, 2026

Study Record Updates

Last Update Posted (Actual)

November 12, 2026

Last Update Submitted That Met QC Criteria

November 7, 2026

Last Verified

November 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • ToothVision
  • IRB (Other Identifier: IRB Jordan University Hospital)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.