An Accuracy of Deep Learning-Based Tool for Single Implant Placement : Phase I Space Analysis
- Conditions
- The digital model for evaluating single edentulous area from CBCT imagesComputer-assisted implant surgery, CBCT, CNNs, AI
- Registration Number
- TCTR20240328004
- Lead Sponsor
- Chulalongkorn University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending (Not yet recruiting)
- Sex
- All
- Target Recruitment
- 162
Inclusion Criteria
1. The CBCT radiograph with at least 1 site of single missing tooth either inmaxilla or mandible
2. Present of mesial and distal adjacent teeth which at least 6 mm. of distance of crestal bone
3. Age at least 20 years old
Exclusion Criteria
1. Radiographic sign with pathology in the jaw bone
2. Incomplete healing socket
3. Insufficient CBCT quality, such as excessive metal artifacts or movement artifacts
4. Adjacent teeth with indication for extraction, such as severe periodontal bone
loss, extensive carious lesions
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Accuracy The end of operation Intersection over union,Time required for segmentation The end of operation Digital clock
- Secondary Outcome Measures
Name Time Method Precision The end of operation Intersection over union,Recall The end of operation Intersection over union,F1 score The end of operation Intersection over union,The Area under the Receiver operating characteristic curve The end of operation Intersection over union