Machine Learning
77
14
18
34
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 77 trials
100.0%
+13.5% vs benchmark
0%
0 trials in Phase 3/4
3%
1 of 34 completed with results
Key Signals
Data Visualizations
Phase Distribution
Trial Status
Trial Success Rate
Benchmark: 86.5%
Based on 34 completed trials
Clinical Trials (77)
Prospective Evaluation of a Locked Risk-Stratified Surveillance Strategy for Extrahepatic Metastasis in Hepatocellular Carcinoma
Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
Multi-Omics Inflammatory Phenotype for ABPA Recurrence Risk Prediction
Estimation and Prediction of Individual Benefit From Postoperative Adjuvant Transcatheter Arterial Chemoembolization For Patients With Hepatocellular Carcinoma
Predicting Vaccine Hesitancy Using Machine Learning
PACT Involvement in Cardiology Patients
Digital diagnoSis of Cardiac sOUNd in peDiatric Patients [DI-SOUND Study]
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
Construction of a Clinico-Imaging Collaborative Diagnostic Model for Dermatomyositis Combined With Interstitial Lung Disease Based on PET/CT Imaging Features and Clinical Parameters
Predictive Value of Gastrointestinal Blood Flow for Enteral Nutrition Intolerance in Critically Ill Patients
Timely Ordering of Pharmacogenetic Testing
Machine Learning Prediction of Mortality After Prone Positioning in ARDS
A Machine Learning Approach for Predicting tDCS Treatment Outcomes of Adolescents With Autism Spectrum Disorders
Remote Monitoring of Asthma in Children and Young People
Multimodal Exercise Therapy for Non-Surgical Intervention of Nonspecific Low Back Pain.
Research on the Development and Validation of an Early Prediction Model for Delirium
Prospective Validation of Machine Learning Model to Predict Platinum Induced Nephrotoxicity in Cancer Patients
MUSCLE-ML: Multimodal Integration of Muscle Strength, Structure by Machine Learning for Precision Rehabilitation After ACL Injury
Machine Learning for Predicting Spinal Anesthesia Duration
AI-Powered Fall Risk Prediction in Nursing Care