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NCT05912361
Impact of Training Dental Students for an AI-Based Platform
NA trial testing receiving a one hour theoretical and hands on training session before using an AI-based platform in Artificial Intelligence in 20 participants. Completed in 1 January 2024.
20 December 2023
Quick facts
| Lead sponsor | University of Copenhagen |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | double |
| Primary purpose | other |
| Enrollment | 20 |
| Start date | 20 August 2023 |
| Primary completion | 20 December 2023 |
| Estimated completion | 1 January 2024 |
| Sites | 1 location across Denmark |
Drugs / interventions tested
- receiving a one hour theoretical and hands on training session before using an AI-based platform
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
- Education — all drugs for Education →
Sponsor
University of Copenhagen
Who can join
20 and older, any sex, with Artificial Intelligence or Education. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The emergence of artificial intelligence (AI) and specifically deep learning (DL) have shown great potentials in finding radiographic features and treatment planning in the field of cariology and endodontics . A growing body of literature suggests that DL models might assist dental practitioners in detecting radiographical features such as carious lesions, periapical lesions, as well as predicting the risk of pulp exposure when doing caries excavation therapy. Although, current literature lacks sufficient research on the effect of sufficient training of dental practitioners for using AI-based platforms. This prospective randomized controlled trial aims to assess the performance of students when using an AI-based platform for pulp exposure prediction with and without sufficient preprocedural training. The hypothesis is that participants performance at group with sufficient training is similar to the group without sufficient training.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
The Impact of Training Dental Students to Use an Artificial Intelligence-Based Platform for Pulp Exposure Prediction Prior to Deep Caries Excavation: A Proof-of-Concept Randomised Controlled Trial.
Ramezanzade S, Dascalu TL, Bakhshandeh A, Uribe SE, et al · · 2026 · PMID 41074395 · DOI 10.1111/iej.70046
Verify or expand the search:
- PubMed search for NCT05912361
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05912361 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by University of Copenhagen
- Last refreshed: 8 January 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05912361.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing