Clinical trials: Deep Learning, open to volunteers
Chronic Coronary Syndrome, Coronary Artery Disease
Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
The primary objective of this study is to assess the accuracy in terms of sensitivity, specificity, negative and positive predicted values of the DL-based algorithm with respect to correct identification of the plaque and…
- Conditions
- Chronic Coronary Syndrome, Coronary Artery Disease, Stable Angina, Acute Coronary Syndrome
- Trial name
- FOCUS DL (NCT06186336)
- Testing
- Deep Learning-based Vulnerable Plaque Detection and Assessment Tool
- Where
- Italy
- Volunteers
- 200 people
- Sponsor
- GE Healthcare
Branch Atheromatous Disease, Acute Ischemic Stroke
Early Identification and Diagnosis of BAD-related Stroke
Branch atheromatous disease (BAD)-related stroke is an important subtype of acute ischemic stroke involving penetrating arteries and is associated with early neurological deterioration.
- Conditions
- Branch Atheromatous Disease, Acute Ischemic Stroke, Cerebral Infarction
- Trial name
- SMART-BAD (NCT07693816)
- Testing
- Multisource clinical-imaging artificial intelligence diagnostic assessment
- Where
- 11 sites in China
- Volunteers
- 1,602 people
- Sponsor
- Peking Union Medical College Hospital
Cerebral Small Vessel Disease
Intelligent Analysis and Clinical Validation of Cerebral Small Vessel Disease on Magnetic Resonance Imaging：A Multi-center Study
Cerebral small vessel disease (CSVD) accounts for 20% of ischemic strokes and is the most common cause of vascular cognitive impairment.
- Trial name
- NCT06667635
- Testing
- Artificial intelligence
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Chinese PLA General Hospital
HCC, Adjuvant Therapy
Adjuvant Anti-PD-1 Therapy in Resected Hepatocellular Carcinoma
Early hepatocellular carcinoma (HCC) recurrence (driven by residual tumors) and late recurrence (driven by de novo tumors) exhibit distinct biological behaviors, suggesting differential therapeutic vulnerabilities.
- Conditions
- HCC, Adjuvant Therapy, Recurrence, Immune Checkpoint Inhibitor
- Trial name
- NCT07379489
- Testing
- PD-1 Inhibitors
- Volunteers
- 300 people
- Sponsor
- Tongji Hospital
Gingival Phenotype Assessment
Comparison of Artificial Intelligence and Clinicians With Different Experience Levels in Assessing Gingival Phenotype
The goal of this observational study is to compare the performance of clinicians with different experience levels and a deep learning-based artificial intelligence (AI) model in assessing gingival phenotype using two diagnostic…
- Trial name
- NCT07570290
- Testing
- Periodontal Probe Transparency Method, Visual Assessment Method, Deep Learning-Based Artificial Intelligence Model
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Ondokuz Mayıs University
Unruptured Intracranial Aneurysm, Intracranial Aneurysm Rupture
Prospective Observational Cohort Study for Predicting Unruptured Intracranial Aneurysm Rupture Risk Using Blood Pressure Variability and 3D Structural Evolution
This is a single-center, prospective, longitudinal observational cohort study in adults with unruptured intracranial aneurysms (UIAs) who are managed by conservative observation rather than immediate surgery or endovascular…
- Trial name
- NCT07893574
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Tiantan Hospital
Glioma
MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and…
- Trial name
- NCT04215211
- Testing
- Survival prediction for glioma patients
- Where
- China
- Volunteers
- 2,500 people
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Deep Vein Thrombosis
Systematic Machine Learning Algorithm for Rapid Thrombosis Detection
The goal of this clinical trial is to compare the use of a machine learning-based algorithm and point-of-care D-dimer to laboratory D-dimer and compression ultrasound to exclude deep vein thrombosis in the under extremities in…
- Trial name
- DVT-SMART (NCT06842446)
- Testing
- POC D-dimer, POC ultrasound, Machine learning model
- Where
- Norway
- Volunteers
- 1,000 people
- Sponsor
- Ostfold Hospital Trust
Colorectal Cancer Liver Metastasis
Prospective Validation of an AI Model for Predicting Liver Metastasis in Colorectal Cancer
This is a prospective, multicenter, observational study designed to validate the predictive accuracy of a pre-developed multimodal deep learning model.
- Trial name
- NCT07392567
- Testing
- Multimodal Deep Learning Prediction Model
- Where
- China
- Volunteers
- 160 people
- Sponsor
- Tongji Hospital
Colorectal Polyp, Colorectal Adenoma
Evaluation of a CAM System for Colorectal Polyp Size Measurement
Accurate polyp size measurements are essential for risk stratification, selection of polypectomy techniques, and surveillance interval assignments.
- Trial name
- CAM (NCT06715384)
- Testing
- Polyp size measurement using autonomous AI measurement or AI-assisted human measurement with the CAM system
- Where
- China
- Volunteers
- 168 people
- Sponsor
- Changhai Hospital
T1 Gastric Cancer Lymph Node Metastasis Early Gastric Cancer Artificial Intelligence-Assisted Diagnosis Multimodal Data Integration
Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
This study aims to develop and validate an artificial intelligence (AI) model that integrates clinical, pathological, and imaging data to predict the presence of lymph node metastasis (LNM) in patients with T1-stage gastric…
- Trial name
- NCT07124754
- Testing
- Multimodal Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in T1 Gastric Cancer
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Qun Zhao
Pulmnary Hypertension
Detecting Pulmonary Hypertension With the Eko CORE 500 Digital Stethoscope
This prospective, observational study will evaluate whether synchronized heart sound (phonocardiogram, PCG) and three-lead electrocardiogram (ECG) recordings (entered as separate interventions in PRS, though collected together in…
- Trial name
- EKO-PH (NCT07136623)
- Testing
- Eko CORE 500 phonocardiogram (PCG) recording, Eko CORE 500 three-lead electrocardiogram (ECG) recording
- Where
- 2 sites in United States
- Volunteers
- 1,513 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Pulmonary Nodules, Lung Neoplasms
A Multicenter Cohort Study of AI-Based Methods for Pulmonary Nodule Diagnosis and Follow-up
This is an observational, multicentre study. The primary objective of this study was to evaluate the diagnostic performance and clinical applicability of artificial intelligence models for pulmonary nodule segmentation…
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Artificial Intelligence (AI)
- Trial name
- NCT07815483
- Volunteers
- 16,880 people
- Sponsor
- Shanghai East Hospital
Liver Fibrosis
Prediction of Significant Liver Fibrosis
The deep learning method based on convolutional neural network (CNN) was used to extract the relevant features of liver fibrosis classification from the multi-modal information of digital pathological sections, clinical…
- Trial name
- PSLF (NCT06509230)
- Where
- China
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Huang Haijun
Pancancer
Prospective Pathology Foundation Models
Histopathology remains the gold standard for disease diagnosis, yet faces challenges including pathologist shortages and diagnostic model limitations.
- Trial name
- NCT07157618
- Where
- 2 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Nanfang Hospital, Southern Medical University
Embolic Stroke of Undetermined Source
AI-Based Prediction of Atrial Fibrillation in ESUS Patients With ICM
This study investigates patients with Embolic Stroke of Undetermined Source (ESUS) who have received an Implantable Cardiac Monitor (ICM).
- Trial name
- SMART-ESUS (NCT07347691)
- Where
- 5 sites in South Korea
- Volunteers
- 92 people
- Sponsor
- Inha University Hospital
Pancreatic Cancer, Pancreatic Cystic Lesions
Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence
This international, multicenter retrospective study aims to develop a deep learning (DL)-based predictive model to identify malignant transformation in pancreatic cystic lesions, improving upon current clinical guidelines.
- Trial name
- NCT06954753
- Testing
- Pancreatic surgery
- Volunteers
- 250 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
Carotid Stenosis
Risk Prediction Model for Cerebrovascular Events in Carotid Artery Stenosis
Atherosclerotic carotid artery stenosis is a major cause of stroke, and early identification of high-risk patients combined with surgical intervention can significantly reduce stroke risk.
- Trial name
- NCT06452173
- Testing
- Plasma, carotid high-resolution magnetic resonance imaging
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Beijing Tiantan Hospital
Carcinoma, Renal Cell, Diagnostic Imaging
Deep Learning for Automated Discrimination Between Stage T1-T2 and T3 Renal Cell Carcinoma on Contrast-Enhanced CT
This study aims to develop and validate a contrast-enhanced CT-based deep-learning model for automatic and accurate preoperative discrimination between T1-T2 and T3 renal cell carcinoma.
- Conditions
- Carcinoma, Renal Cell, Diagnostic Imaging, Pathology, Deep Learning
- Trial name
- NCT07166445
- Testing
- None intervention
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Peking University First Hospital
Patient Readmission
Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data
Hospital readmissions are an important measure of healthcare quality and safety. These events create a substantial burden for patients, families, and health systems because they may increase costs, extend recovery time, and lead…
- Trial name
- NCT07349901
- Where
- Brazil
- Volunteers
- 300 people
- Sponsor
- Getúlio Vargas University Hospital