Deep Learning Clinical Trials

20 recruiting

Deep Learning Trials at a Glance

21 actively recruiting trials for deep learning are listed on ClinicalTrialsFinder across 6 cities in 7 countries. The largest study group is Not Applicable with 5 trials, with the heaviest enrollment activity in Wuhan, Nanchang, and Guangzhou. Lead sponsors running deep learning studies include Peking University First Hospital, Second Affiliated Hospital of Nanchang University, and Union Hospital, Tongji Medical College, Huazhong University of Science and Technology.

Browse deep learning trials by phase

Treatments under study

About Deep Learning Clinical Trials

Looking for clinical trials for Deep Learning? There are currently 20 studies actively recruiting participants. Clinical trials offer access to new treatments before they are widely available, and every approved therapy in use today was first tested through a clinical trial.

Below you can browse trials, sign up for alerts when new Deep Learning trials open, and view eligibility criteria for each study. Each listing includes the study phase, locations, and enrollment details.

Frequently Asked Questions

Common questions about Deep Learning clinical trials

A clinical trial is a carefully designed research study that tests new medical treatments, drugs, devices, or approaches in human volunteers. Every approved medication and treatment available today was proven safe and effective through clinical trials.

All clinical trials are reviewed and approved by Institutional Review Boards (IRBs) — independent committees that evaluate patient safety. Trials follow strict protocols, and your health is monitored closely throughout. You can withdraw at any time.

Not necessarily. Many trials compare the new treatment against the current standard of care, meaning all participants receive active treatment. When placebos are used, they are typically combined with standard treatment, not given alone. The trial description will always specify the design.

Under the Affordable Care Act, most private insurers are required to cover routine patient care costs during a clinical trial. The sponsor typically covers the investigational treatment itself. Medicare also covers routine costs for qualifying trials.

Yes. Participation is completely voluntary. You can withdraw at any time, for any reason, without it affecting your access to standard medical care.

Each trial has specific eligibility criteria — including age, diagnosis, disease stage, prior treatments, and general health. Browse the trials listed above and check their eligibility sections. You can also contact the trial site directly to discuss your situation.

Showing 120 of 21 trials

Recruiting
Not Applicable

Locally Optimised Contouring With AI Technology for Radiotherapy

Artificial IntelligenceDeep LearningRadiation Therapy+2 more
Royal North Shore Hospital444 enrolled3 locationsNCT06546592
Recruiting
Not Applicable

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

Deep LearningCardiac Magnetic Resonance ImagingLeft Ventricular Hypertrophy+2 more
Centre Hospitalier Universitaire, Amiens61 enrolled1 locationNCT07061821
Recruiting
Not Applicable

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

Deep LearningIntracranial AneurysmCT Angiography+1 more
Jinling Hospital, China6,450 enrolled21 locationsNCT06118840
Recruiting

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

Carcinoma, Renal CellPathologyDeep Learning+1 more
Peking University First Hospital1,000 enrolled1 locationNCT07166445
Recruiting

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

Deep LearningAI (Artificial Intelligence)Vault+1 more
Second Affiliated Hospital of Nanchang University818 enrolled1 locationNCT07146737
Recruiting

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

Bladder CancerUltrasoundDeep Learning
Peking University First Hospital400 enrolled1 locationNCT07111364
Recruiting

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

Artificial Intelligence (AI)Deep LearningOphthalmic Imaging+1 more
Second Affiliated Hospital of Nanchang University1,024 enrolled1 locationNCT07127939
Recruiting

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

Esophageal Squamous Cell CarcinomaPathological Complete ResponseDeep Learning+1 more
Tongji Hospital300 enrolled1 locationNCT07088354
Recruiting

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

Bladder CancerNeoadjuvant ChemotherapyDeep Learning+2 more
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University480 enrolled1 locationNCT07051083
Recruiting
Not Applicable

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

Lung CancerDeep LearningHealth Screening+1 more
Massachusetts General Hospital1,500 enrolled1 locationNCT06910956
Recruiting

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

Heart FailureCardiomyopathiesDeep Learning+2 more
Yonsei University100 enrolled1 locationNCT06978998
Recruiting
Not Applicable

AI-Assisted Smart Interactive Healthcare Robot

Artificial Intelligence (AI)Deep LearningNursing+1 more
National Taiwan University Hospital160 enrolled1 locationNCT06972043
Recruiting

Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis

Gastric CancersEsophageal CancerCancer Screening+14 more
Second Affiliated Hospital, School of Medicine, Zhejiang University600 enrolled4 locationsNCT06822413
Recruiting

Artificial Intelligence for Screening of Multiple Corneal Diseases

ScreeningDeep LearningCorneal Disease
Tianjin Eye Hospital3,000 enrolled1 locationNCT06211218
Recruiting

Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment

Lung CancerColon CancerStomach Cancer+6 more
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology3,000 enrolled1 locationNCT06653478
Recruiting

Implementation of Surgical Safety and Intraoperative Metastasis Identification Through Deep Learning: Multicentric Video Collection for Minimally Invasive Sentinel Lymph Node Dissection in Uterine Malignancies

Cervical CancerEndometrial CancerArtificial Intelligence+1 more
Fondazione Policlinico Universitario Agostino Gemelli IRCCS100 enrolled2 locationsNCT06619002
Recruiting

Deep Learning for Preoperative Pulmonary Assessment in Thoracic CT

Deep LearningPulmonary FunctionElective Thoracic Surgery
The First Affiliated Hospital of Guangzhou Medical University2,000 enrolled1 locationNCT06477458
Recruiting

A Prospective Study: Smart Phone Application for Measure Serum Bilirubin Through Sclera Images

Deep LearningJaundiceHyperbilirubinemia+1 more
Air Force Military Medical University, China270 enrolled1 locationNCT06421844
Recruiting

Artificial Intelligence-enabled ECG Detection of Congenital Heart Disease in Children: a Novel Diagnostic Tool

Artificial IntelligenceDiagnosisDeep Learning+2 more
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine30,000 enrolled1 locationNCT06383546
Recruiting

Deep Learning Reconstruction Algorithms in Dual Low-dose CTA

Deep Learning
Hao Tang1,200 enrolled1 locationNCT06372756