Other
Machine learning model
Machine learning model is an intervention with 4 clinical trials. Currently 2 active trials ongoing. Historical success rate of 100.0%.
Total Trials
4
Max Phase
—
Type
DIAGNOSTIC TEST
Molecule
—
Success Metrics
Clinical Success Rate
100.0%
Based on 1 completed trials
Completion Rate
100%(1/1)
Active Trials
2(50%)
Results Posted
0%(0 trials)
Phase Distribution
Ph not_applicable
1
25%
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
100.0%
1 of 1 finished
Non-Completion Rate
0.0%
0 ended early
Currently Active
2
trials recruiting
Total Trials
4
all time
Status Distribution
Active(2)
Completed(1)
Other(1)
Detailed Status
unknown1
Completed1
Active, not recruiting1
Recruiting1
Development Timeline
Analytics
Development Status
Total Trials
4
Active
2
Success Rate
100.0%
Most Advanced
N/A
Trials by Phase
N/A1 (100.0%)
Trials by Status
unknown125%
completed125%
active_not_recruiting125%
recruiting125%
Recent Activity
2 active trials
Showing 4 of 4
recruitingnot_applicable
Systematic Machine Learning Algorithm for Rapid Thrombosis Detection
NCT06842446
active_not_recruiting
SVP Detection Using Machine Learning
NCT05731765
unknown
A Novel Machine Learning Algorithm to Predict the Lewy Body Dementias
NCT04448340
completed
Clinical and Radiomic Model of COVID-19
NCT04337502
Clinical Trials (4)
Showing 4 of 4 trials
NCT06842446Not Applicable
Systematic Machine Learning Algorithm for Rapid Thrombosis Detection
NCT05731765
SVP Detection Using Machine Learning
NCT04448340
A Novel Machine Learning Algorithm to Predict the Lewy Body Dementias
NCT04337502
Clinical and Radiomic Model of COVID-19
All 4 trials loaded
Drug Details
- Intervention Type
- DIAGNOSTIC TEST
- Total Trials
- 4