TCTR20240328004
Not yet recruiting
Not Applicable
An Accuracy of Deep Learning-Based Tool for Single Implant Placement : Phase I Space Analysis
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- The digital model for evaluating single edentulous area from CBCT images
- Sponsor
- Chulalongkorn University
- Enrollment
- 162
- Status
- Not yet recruiting
- Last Updated
- last year
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
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
Outcomes
Primary Outcomes
Not specified
Similar Trials
Not yet recruiting
Not Applicable
Predicting Difficult Airway Management Through Machine Learning of Patient PhotographNot ApplicableKCT0004193Hallym University2,000
Completed
Not Applicable
Deep learning prognostic model for pancreatic cancerNeoplasmsKCT0007154Asan Medical Center2,584
Completed
Not Applicable
Development of deep learning-based AI system using ultrasound imagesDiseases of the nervous systemKCT0007482Chungnam National University Hospital900
Not yet recruiting
Not Applicable
sing Artificial Intelligence to Detect Blockages in Blood Vessels of the heart from CT Scan ImagesCTRI/2024/07/070754Manipal Academy of Higher Education Manipal
Not yet recruiting
Not Applicable
A study to know whether we can supervise cancer patients infected with COVID-19 from without admission in hospitals. We will test how much helpful is a software called Datos health along with pulse oximeter and thermometer in this supervision by doctors.Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhereCTRI/2020/10/028256Tata Memorial Hospital Research Administrative Council