Chest X-ray for Clinical Evaluation
8
0
0
4
Key Insights
Highlights
Success Rate
100% trial completion (above average)
Clinical Risk Assessment
Based on trial outcomes
Moderate Risk
Score: 50/100
0.0%
0 terminated out of 8 trials
100.0%
+13.4% vs benchmark
0%
0 trials in Phase 3/4
0%
0 of 4 completed with results
Key Signals
Data Visualizations
Phase Distribution
Trial Status
Trial Success Rate
Benchmark: 86.6%
Based on 4 completed trials
Clinical Trials (8)
Artificial Intelligence (AI) Detection of Incidental Interstitial Opacity on Chest Radiography
Unilateral Ventilation on Cardiopulmonary Bypass During Cardiac Surgery
Chest X-Rays for Early Detection of Congenital Heart Disease in Newborns
X-ray Assisted Diagnostic System
Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease
Chest X-Ray Image Diagnosis and Report Generation Dedicated Model Based on Deepseek
Feasibility of AI-based Heart Function Prediction Model Using CXR
Validation of a New Post Image Processing Engine (S-Vue™) for the Reduction of Ionizing Radiation Dose on X-ray Examination in Pediatric Patients