Other
Automated annotation of the DDH measurement through deep learning
Automated annotation of the DDH measurement through deep learning is an intervention with 2 clinical trials. Historical success rate of 100.0%.
Total Trials
2
Max Phase
—
Type
OTHER
Molecule
—
Success Metrics
Clinical Success Rate
100.0%
Based on 1 completed trials
Completion Rate
100%(1/1)
Active Trials
0(0%)
Results Posted
0%(0 trials)
Phase Distribution
Ph not_applicable
2
100%
Phase Distribution
0
Early Stage
0
Mid Stage
0
Late Stage
Phase Distribution2 total trials
N/ANon-phased studies
2(100.0%)
Highest Phase Reached
UnknownTrial Status & Enrollment
Completion Rate
100.0%
1 of 1 finished
Non-Completion Rate
0.0%
0 ended early
Currently Active
0
trials recruiting
Total Trials
2
all time
Status Distribution
Active(1)
Completed(1)
Detailed Status
Completed1
Not yet recruiting1
Development Timeline
Analytics
Development Status
Total Trials
2
Active
0
Success Rate
100.0%
Most Advanced
N/A
Trials by Phase
N/A2 (100.0%)
Trials by Status
completed150%
not_yet_recruiting150%
Recent Activity
0 active trials
Showing 2 of 2
Clinical Trials (2)
Showing 2 of 2 trials
NCT06803004Not Applicable
Diagnostic Efficacy Study of AI System in Screening Infants With Developmental Dysplasia of the Hip
NCT06765525Not Applicable
Efficacy Study of DeepDDH System in Screening Infants with Developmental Dysplasia of the Hip (DDH)
All 2 trials loaded
Drug Details
- Intervention Type
- OTHER
- Total Trials
- 2