Machine Learning
83
14
21
38
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 83 trials
100.0%
+13.4% vs benchmark
0%
0 trials in Phase 3/4
3%
1 of 38 completed with results
Key Signals
Data Visualizations
Phase Distribution
Trial Status
Trial Success Rate
Benchmark: 86.6%
Based on 38 completed trials
Clinical Trials (83)
Prediction of Chronic Disease Using Explainable Hybrid Machine Learning
Cardiovascular Complications in Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplantation.
Timely Ordering of Pharmacogenetic Testing
PACT Involvement in Cardiology Patients
Federated Learning for Point-of-Care Cardiac Ultrasound
Machine Vision Based MDS-UPDRS III Machine Rating
Machine Learning Prediction of Mortality After Prone Positioning in ARDS
Machine Learning for Predicting Spinal Anesthesia Duration
Comparison of NEWS2 and Machine Learning for Early Sepsis Warning
ML-Based ABPA Recurrence Prediction and Clinical Utility
Predicting Vaccine Hesitancy Using Machine Learning
Estimation and Prediction of Individual Benefit From Postoperative Adjuvant Transcatheter Arterial Chemoembolization For Patients With Hepatocellular Carcinoma
Prospective Evaluation of an AI Diagnostic Ultrasound Tool for Fetal Weight Estimation
A Machine Learning Approach for Predicting tDCS Treatment Outcomes of Adolescents With Autism Spectrum Disorders
Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis
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
Digital diagnoSis of Cardiac sOUNd in peDiatric Patients [DI-SOUND Study]
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting