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NCT06029751
Dynamic Follow-up of Factors Influencing Implant Success and Models for Predicting Implant Outcomes
trial testing No intervention in Implant Site Reaction in 1,000 participants. Status unknown.
31 December 2025
Quick facts
| Lead sponsor | The Dental Hospital of Zhejiang University School of Medicine |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 1,000 |
| Start date | 1 January 2017 |
| Primary completion | 31 December 2025 |
| Estimated completion | 31 December 2025 |
| Sites | 1 location across China |
Drugs / interventions tested
- No intervention
Conditions studied
- Implant Site Reaction — all drugs for Implant Site Reaction →
Sponsor
The Dental Hospital of Zhejiang University School of Medicine
Who can join
18 and older, any sex, with Implant Site Reaction. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Nowadays, artificial intelligence technology with machine learning as the main means has been increasingly applied to the oral field, and has played an increasingly important role in the examination, diagnosis, treatment and prognosis assessment of oral diseases. Among them, machine learning is an important branch of artificial intelligence, which refers to the system learning specific statistical patterns in a given data set to predict the behavior of new data samples \[8\]. Machine learning is divided into two main categories: Supervised learning and Unsupervised learning. Whether there is supervision depends on whether the data entered is labeled or not. If the input data is labeled, it is supervised learning. Unlabeled learning is unsupervised. Supervised learning is a kind of learning algorithm when the correct output of the data set is known. Because the input and output are known, it means that there is a relationship between the input and output, and the supervised learning algorithm is to discover and summarize this "relationship". Unsupervised learning refers to a class of learning algorithms for unlabeled data. The absence of label information means that patterns or structures need to be discovered and summarized from the data set.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06029751
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
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Other recruiting trials for Implant Site Reaction
Currently open trials in the same condition.
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Other The Dental Hospital of Zhejiang University School of Medicine trials
Trials by the same sponsor.
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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 NCT06029751 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by The Dental Hospital of Zhejiang University School of Medicine
- Last refreshed: 19 November 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/NCT06029751.
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