Radiomics
27
4
7
7
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 27 trials
100.0%
+13.5% vs benchmark
0%
0 trials in Phase 3/4
0%
0 of 7 completed with results
Key Signals
Data Visualizations
Phase Distribution
Trial Status
Trial Success Rate
Benchmark: 86.5%
Based on 7 completed trials
Clinical Trials (27)
Study of Imaginomics Predicting Early Surgical Rates in Crohn's Disease
Construction of a Clinico-Imaging Collaborative Diagnostic Model for Dermatomyositis Combined With Interstitial Lung Disease Based on PET/CT Imaging Features and Clinical Parameters
Application of Ultrasound Radiomics in Ultrasound Fusion Targeted Prostate Biopsy
Multimodal Exercise Therapy for Non-Surgical Intervention of Nonspecific Low Back Pain.
Predicting HIF-2α Levels in Clear Cell Kidney Cancer Using Machine Learning
Multicenter Cohort Study on Predicting Bronchiectasis Progression, Complications, and Prognosis Using Multi-omics
Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma
RADIomics to Predict HER2 Status And T-DXd Efficacy in Metastatic Breast Cancer: the RADIOSPHER2 Study
US Radiomics in Advanced Cervical Cancer
Radiomics-Based AI Model for Predicting Para-Aortic Lymph Node Metastasis in Gastric Cancer Patients
Dixon MRI Imaging Histology for Predicting Postoperative Infection in Posterior Lumbar Fusion for Myasthenia Gravis
Neurophenotype Predicts CD Disease Progression
The Efficacy of Radiomics to Predict Tumor Microenvironment Markers and Comprehensive Therapy for Bladder Cancer
Repeatability and Stability of Healthy Skin Features on OCT
Preoperative Prediction of Adherent Perirenal Fat.
Retrospective Analysis of the Correlation Between Imaging Features and Pathology, Prognosis in Renal Tumors
Microvascular Invasion for Guiding Treatment of Barcelona Clinic Liver Cancer Stage B Hepatocellular Carcinoma
An In Silico Trial to Evaluate Prospectively the Performance of a Radiomics Algorithm for UIP Compared to Medical Doctors
Application of Radiomics in Breast Cancer
Deep Learning Signature for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma