Deep Learning Model
5
1
1
1
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 5 trials
100.0%
+13.5% vs benchmark
0%
0 trials in Phase 3/4
0%
0 of 1 completed with results
Key Signals
Data Visualizations
Phase Distribution
Trial Status
Trial Success Rate
Benchmark: 86.5%
Based on 1 completed trials
Clinical Trials (5)
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
Validation of the TRAIN-AI for the Risk of HCC Recurrence After Liver Transplantation
Deep Learning Model for Predicting a Peripheral Venous Waveform-based Pulse Pressure Variation
Deep Learning Model Predicts Pathological Complete Response of Lung Cancer Following Neoadjuvant Immunochemotherapy
Deep Learning Model for Diagnosis and Contour of Cervical Lymph Node for Nasopharyngeal Carcinoma