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Diagnostic Performance of Ai vs Junior Dentists

7. november 2026 opdateret af: 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.

Studieoversigt

Status

Ikke rekrutterer endnu

Betingelser

Diagnose

Detaljeret beskrivelse

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?

Undersøgelsestype

Observationel

Tilmelding (Anslået)

120

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Navn: Susan Hattar, PhD
Telefonnummer: +962795642613
E-mail: s.hattar@ju.edu.jo

Studiesteder

Jordan
- - Amman, Jordan, 11181
    - The university of Jordan

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år og ældre (Voksen, Ældre voksen)

Tager imod sunde frivillige

Køn, der er berettiget til at studere

Alle

Prøveudtagningsmetode

Sandsynlighedsprøve

Studiebefolkning

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

Beskrivelse

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.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Observationsmodeller: COHORT
Tidsperspektiver: CROSS_SECTIONAL

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål	Foranstaltningsbeskrivelse	Tidsramme
(ROCAUC) Tidsramme: 12 months	Receiver-Operating-Characteristics curve	12 months

Sekundære resultatmål

Resultatmål	Foranstaltningsbeskrivelse	Tidsramme
Diagnostic test parameters Tidsramme: 12 months	Sensitivity, Specificity, PPV, NPV	12 months

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

University of Jordan

Efterforskere

Studieleder: Susan Hattar, PhD, University of Jordan

Publikationer og nyttige links

Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.

Generelle publikationer

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

1. november 2026

Primær færdiggørelse (Anslået)

1. juli 2027

Studieafslutning (Anslået)

1. oktober 2027

Datoer for studieregistrering

Først indsendt

24. oktober 2026

Først indsendt, der opfyldte QC-kriterier