Using machine learning to predict dental implant success

Dynamic Follow-up of Factors Influencing Implant Success and Models for Predicting Implant Outcomes

This study is testing whether machine learning can help predict how successful dental implants will be by looking at different types of data before surgery.

Quick facts

• Study type: Observational
• Enrollment: 1000 (estimated)
• Ages: 18 Years and up
• Sex: All
• Sponsor: The Dental Hospital of Zhejiang University School of Medicine (other)
• Drugs / interventions: radiation
• Locations: 1 site (Hangzhou, Zhejiang)
• Trial ID: NCT06029751 on ClinicalTrials.gov

What this trial studies

This observational study aims to utilize machine learning techniques to analyze various data types related to dental implants, focusing on predicting implant outcomes and understanding factors influencing their success. Researchers will examine preoperative imaging data to identify critical anatomical structures and assess bone quality, which are essential for effective implant surgery. The study will also address challenges such as lost follow-up and missing data, aiming to improve the accuracy of predictions regarding implant retention rates and bone absorption changes. By leveraging advanced statistical models, the study seeks to enhance clinical decision-making in oral implantology.

Who should consider this trial

Good fit: Ideal candidates include patients aged 18 years and older who have had dental implants for 1-5 years and meet specific torque requirements.

Not a fit: Patients with contraindications for general implantation surgery or those who have received head and neck radiation therapy may not benefit from this study.

Why it matters

Potential benefit: If successful, this study could lead to more accurate predictions of dental implant success, improving patient outcomes and surgical planning.

How similar studies have performed: Other studies have shown promise in using machine learning for predicting medical outcomes, suggesting that this approach could be effective in the field of dental implants.

Eligibility criteria

Inclusion Criteria:

* Patients aged 18 years and above;
* 1-5 years after implantation;
* Implantation torque \> 35N·cm;
* Signed informed consent.

Exclusion Criteria:

* Contraindications of general implantation surgery;
* Have received head and neck radiation therapy;
* Past or current treatment with bisphosphonates;
* Do not cooperate with the interviewer.

Where this trial is running

Hangzhou, Zhejiang

• The Stomatologic Hospital, School of Medicine, Zhejiang University — Hangzhou, Zhejiang, China (RECRUITING)

Study contacts

• Principal investigator: Weida Li — Stomatological Hospital Affiliated to Zhejiang University School of Medicine
• Study coordinator: Yi Zhou

Conditions: Implant Site Reaction