Pulpal and Periapical DiseasesNCT07706894
Diagnostic Accuracy of Educated Large Language Models in Endodontic Diagnosis and Case Difficulty Assessment
An observational study of Pulpal and Periapical Diseases, run by Cairo University.
Trial summary
This diagnostic test accuracy (DTA) study aims to evaluate the diagnostic performance of educated large language models (Educated ChatGPT (GPT-5.5 Pro), Educated Gemini 3.1 Pro, and Educated Claude Opus 4.7) in endodontic practice. Read more about this study
- Who is it for?
- Ages 16 years and older
- Conditions the study is for
- Pulpal and Periapical Diseases
- What is being tested?
- ChatGPT, Gemini, Calude
- How many people
- 349 participants
- Where
- No sites listed yet
- Study dates
- Jul 2026to Jun 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 16 years and older
- All sexes
- Child, Adult, Older adult
Study population: Eligible patients seeking primary endodontic treatment or retreatment
Who may be able to join
- Age above 16 years old.
- Requiring primary endodontic treatment or retreatment.
- Availability of complete clinical examination records.
- Availability of diagnostic radiographs.
- Restorable teeth.
- Patient's acceptance to participate in the study.
Who cannot join
- Incomplete records
- Pregnant women.
- No restorability: Hopeless tooth.
- Traumatic dental injuries
- Periapical radiographic images of sub-optimal quality or artifacts/high scatter interfering with proper assessment.
About this study
Official title: Accuracy of Educated Large Language Models Compared With Endodontic Experts in the Diagnosis and Difficulty Assessment of Endodontic Cases: A Diagnostic Test Accuracy Study
This diagnostic test accuracy (DTA) study aims to evaluate the diagnostic performance of educated large language models (Educated ChatGPT (GPT-5.5 Pro), Educated Gemini 3.1 Pro, and Educated Claude Opus 4.7) in endodontic practice. Their ability to establish pulpal and periapical diagnoses and assess endodontic case difficulty will be compared with the reference standard established by a panel of endodontic experts. Clinical and radiographic information from patients presenting for primary endodontic treatment or nonsurgical endodontic retreatment will be provided to both the AI models and the expert panel. The primary outcomes are the sensitivity, specificity, and the overall accuracy of the educated LLMs, with the objective of determining their potential role as reliable decision-support tools in endodontic diagnosis and treatment planning.
- Conditions
- Pulpal and Periapical Diseases
- Being tested
- ChatGPT, Gemini, Calude
- Medical subject headings
- Periapical Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ChatGPT, Gemini, CaludeDiagnostic test
Three educated large language models (LLMs) will be evaluated in this study: Educated ChatGPT (GPT-5.5 Pro, OpenAI), Educated Gemini 3.1 Pro (Google), and Educated Claude Opus 4.7 (Anthropic).
What is being measured
The primary outcome is the main question the study is designed to answer.
Endodontic diagnosis according to AAE
Pulpal and periapical diagnosis
Measured: baseline
Secondary outcomes (1)
Difficulty assessment according to AAE
Measured: baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Jul 2026
- Study startJul 2026 (estimated)
- Primary completionDec 2026 (estimated)
- Study completionJun 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Pulpal and Periapical DiseasesStudies of the same condition, open and under way.
- More trials run by Cairo UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 349 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Cairo University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Radwa Mohamed Saleh Elaguizy, Cairo University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07706894
- Sponsor's protocol ID
- new endo (7.1.1)
- Status last verified
- Jul 2026
- First submitted
- 5 Jul 2026
- Last updated
- 16 Jul 2026
- Results posted
- No
Study at a glance
From the registry record, last updated by the sponsor on 16 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Accuracy of Educated Large Language Models Compared With Endodontic Experts in the Diagnosis and Difficulty Assessment of Endodontic Cases: A Diagnostic Test Accuracy Study
- ClinicalTrials.gov ID
- NCT07706894
- Acronym / sponsor ID
- new endo (7.1.1)
- Conditions
- Pulpal and Periapical Diseases
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 349 participants (estimated)
- Lead sponsor
- Cairo UniversityUniversity, hospital or other
- Study start
- Jul 2026 (estimated)
- Primary completion
- Dec 2026 (estimated)
- Study completion
- Jun 2027 (estimated)
- First posted
- 16 Jul 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This diagnostic test accuracy (DTA) study aims to evaluate the diagnostic performance of educated large language models (Educated ChatGPT (GPT-5.5 Pro), Educated Gemini 3.1 Pro, and Educated Claude Opus 4.7) in endodontic practice. Their ability to establish pulpal and periapical diagnoses and assess endodontic case difficulty will be compared with the reference standard established by a panel of endodontic experts. Clinical and radiographic information from patients presenting for primary endodontic treatment or nonsurgical endodontic retreatment will be provided to both the AI models and the expert panel. The primary outcomes are the sensitivity, specificity, and the overall accuracy of the educated LLMs, with the objective of determining their potential role as reliable decision-support tools in endodontic diagnosis and treatment planning.
Study design
- Observational model
- Other
- Time perspective
- Prospective
Who may qualify
- Ages
- 16 years and older
- Sex
- All
- Age groups
- Child, Adult, Older adult
- Study population
- Eligible patients seeking primary endodontic treatment or retreatment
Key inclusion criteria (6 listed)
- Age above 16 years old.
- Requiring primary endodontic treatment or retreatment.
- Availability of complete clinical examination records.
- Availability of diagnostic radiographs.
- Restorable teeth.
Key exclusion criteria (5 listed)
- Incomplete records
- Pregnant women.
- No restorability: Hopeless tooth.
- Traumatic dental injuries
- Periapical radiographic images of sub-optimal quality or artifacts/high scatter interfering with proper assessment.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ChatGPT, Gemini, CaludeThree educated large language models (LLMs) will be evaluated in this study: Educated ChatGPT (GPT-5.5 Pro, OpenAI), Educated Gemini 3.1 Pro (Google), and Educated Claude Opus 4.7 (Anthropic). | Diagnostic test | – |
Primary outcome
Endodontic diagnosis according to AAE
Time frame: baseline
Pulpal and periapical diagnosis
1 secondary outcome
Difficulty assessment according to AAE
Time frame: baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Jul 2026.
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Using Platelet-rich Fibrin in Regenerative Endodontic Treatment in Mature Permanent Teeth
Chronic Apical Periodontitis, Necrosis of Pulp
RecruitingObservational study
Bite Force Measurements
Irreversible Pulpitis, Apical Periodontitis
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Pulpal and Periapical Diseases, run by Cairo University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 16 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Endodontic diagnosis according to AAE (time frame: baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Jul 2026.