Other
Deep learning model
Deep learning model is an intervention with 3 clinical trials. Currently 1 active trials ongoing.
Total Trials
3
Max Phase
—
Type
DIAGNOSTIC TEST
Molecule
—
Success Metrics
Active Trials
1(33%)
Phase Distribution
Ph not_applicable
1
33%
Phase Distribution
0
Early Stage
0
Mid Stage
0
Late Stage
Phase Distribution1 total trials
N/ANon-phased studies
1(100.0%)
Highest Phase Reached
UnknownTrial Status & Enrollment
Completion Rate
0.0%
0 of 0 finished
Non-Completion Rate
0.0%
0 ended early
Currently Active
1
trials recruiting
Total Trials
3
all time
Status Distribution
Active(2)
Other(1)
Detailed Status
unknown1
Recruiting1
Not yet recruiting1
Development Timeline
Analytics
Development Status
Total Trials
3
Active
1
Success Rate
N/A
Most Advanced
N/A
Trials by Phase
N/A1 (100.0%)
Trials by Status
unknown133%
recruiting133%
not_yet_recruiting133%
Recent Activity
1 active trials
Showing 3 of 3
not_yet_recruitingnot_applicable
Diagnostic Accuracy of a Deep Learning Framework for Automated Evaluation of Root Canal Obturation Quality From Periapical Radiographs
NCT07684482
recruiting
Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project
NCT05479617
unknown
The Accuracy of Detection of Artificial Intelligence Second Mesio-buccal Canal of Maxillary First Molars on CBCT Images
NCT05340140
Clinical Trials (3)
Showing 3 of 3 trials
NCT07684482Not Applicable
Diagnostic Accuracy of a Deep Learning Framework for Automated Evaluation of Root Canal Obturation Quality From Periapical Radiographs
NCT05479617
Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project
NCT05340140
The Accuracy of Detection of Artificial Intelligence Second Mesio-buccal Canal of Maxillary First Molars on CBCT Images
All 3 trials loaded
Drug Details
- Intervention Type
- DIAGNOSTIC TEST
- Total Trials
- 3