Key Insights

Highlights

Success Rate

100% trial completion (above average)

Clinical Risk Assessment

Based on trial outcomes

Moderate Risk

Score: 50/100

Termination Rate

0.0%

0 terminated out of 51 trials

Success Rate

100.0%

+13.5% vs benchmark

Late-Stage Pipeline

0%

0 trials in Phase 3/4

Results Transparency

0%

0 of 11 completed with results

Key Signals

100% success

Data Visualizations

Phase Distribution

12Total
Not Applicable (11)
P 1 (1)

Trial Status

Recruiting20
Unknown12
Completed11
Enrolling By Invitation3
Active Not Recruiting2
Not Yet Recruiting2

Trial Success Rate

100.0%

Benchmark: 86.5%

Based on 11 completed trials

Clinical Trials (51)

Showing 20 of 20 trials
NCT07532928Enrolling By InvitationPrimary

A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data

NCT06546592Not ApplicableRecruiting

Locally Optimised Contouring With AI Technology for Radiotherapy

NCT07061821Not ApplicableRecruiting

Evaluation of Left Ventricular Ejection Fraction Using an Accelerated Cardiac Cine-MRI Sequence With Deep Learning-based Image Reconstructions

NCT06118840Not ApplicableRecruiting

IDEAL Study: Blinded RCT for the Impact of AI Model for Cerebral Aneurysms Detection on Patients' Diagnosis and Outcomes

NCT07166445Recruiting

Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT

NCT06390579Completed

Building Research With Artificial Intelligence in Neuro-Ophthalmology

NCT07146737Recruiting

Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation

NCT07111364RecruitingPrimary

Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study

NCT07127939Recruiting

Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging

NCT07088354Recruiting

Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy

NCT07074535Active Not Recruiting

CT and Endoscopic Biopsy Image-Based Deep Learning for Predicting Left Recurrent Laryngeal Nerve Lymph Node Metastasis in Esophageal Cancer

NCT07051083Recruiting

Bladder Cancer Staging and Prediction of New Adjuvant Chemotherapy Efficacy Based on Deep Learning and Transfer Learning in Ultrasound-Magnetic Resonance-Pathology Multimodal Multiscale

NCT06910956Not ApplicableRecruiting

Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT

NCT06978998Recruiting

Validation of the Prognostic Impact of a Retinal Photograph-based Cardiovascular Disease Risk Stratification System in de Novo HFrEF

NCT06972043Not ApplicableRecruiting

AI-Assisted Smart Interactive Healthcare Robot

NCT06864702Not ApplicableEnrolling By Invitation

The Construction and Effect Verification of a Deep Learning-based Automated Semantic Segmentation Model for Medical Imaging

NCT06845462CompletedPrimary

Application of Artificial Intelligence Algorithm Based on CT Imaging for Muscle Parameter Measurement

NCT06444425Enrolling By Invitation

Artificial Intelligence in Detecting Cardiac Function

NCT06462924Phase 1Withdrawn

Feasibility of Gadolinium Contrast Reduced Brain MRI: the Potential of Deep Learning

NCT06792097Not Yet Recruiting

Ga-68 Dolacga PET Scan in HCC Under RFA

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