Success Metrics

Clinical Success Rate
100.0%

Based on 1 completed trials

Completion Rate
100%(1/1)
Active Trials
2(67%)
Results Posted
0%(0 trials)

Phase Distribution

Ph not_applicable
2
67%

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

Unknown

Trial 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

3

all time

Status Distribution
Active(2)
Completed(1)

Detailed Status

Recruiting2
Completed1

Development Timeline

Analytics

Development Status

Total Trials
3
Active
2
Success Rate
100.0%
Most Advanced
N/A

Trials by Phase

N/A2 (100.0%)

Trials by Status

completed133%
recruiting267%

Recent Activity

2 active trials
Showing 3 of 3
completed

Real-time Artificial Intelligence-based Endocytoscopic Diagnosis of Colorectal Neoplasms

NCT06335654
recruitingnot_applicable

AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study

NCT07251114
recruitingnot_applicable

Clinical Research on a Novel Deep-learning Based System in Pancreatic Endoscopic Ultrasound Scanning

NCT05792267

Clinical Trials (3)

Showing 3 of 3 trials
NCT06335654

Real-time Artificial Intelligence-based Endocytoscopic Diagnosis of Colorectal Neoplasms

Completed
NCT07251114Not Applicable

AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study

Recruiting
NCT05792267Not Applicable

Clinical Research on a Novel Deep-learning Based System in Pancreatic Endoscopic Ultrasound Scanning

Recruiting

All 3 trials loaded

Drug Details

Intervention Type
DIAGNOSTIC TEST
Total Trials
3