Clinical trials: Deep Learning, open to volunteers
Arrhythmia, Long QT Syndrome
AI-powered ECG Analysis for Deadly Arrhythmias and ICI Myocarditis
ELDORA is a non-interventional observational data-science study aiming to develop and validate clinical-grade artificial intelligence tools applied to electrocardiogram (ECG) data.
- Conditions
- Arrhythmia, Long QT Syndrome, Immune Checkpoint Inhibitor-Related Myocarditis
- Trial name
- ELDORA (NCT07644715)
- Where
- France
- Volunteers
- 127,000 people, healthy volunteers welcome
- Sponsor
- Groupe Hospitalier Pitie-Salpetriere
Pulmonary Nodules, Early Detection of Cancer
Diagnostic Performance of an AI-Based Multi-Omics Model for Early Lung Cancer
This is a prospective, multicenter observational cohort study for patients with lung nodules suspicious for early-stage lung cancer.
- Conditions
- Pulmonary Nodules, Early Detection of Cancer, Lung Neoplasms
- Trial name
- NCT07882628
- Where
- 8 sites in China
- Volunteers
- 1,050 people
- Sponsor
- Beijing Chao Yang Hospital
Hepotacellular Carcinoma
Multimodal Deep Learning for Postoperative Liver Cancer Risk Stratification and Intervention
This study is for patients with early-stage liver cancer who are planning to have surgery. The goal of this research is to see if a personalized treatment plan, guided by a computer model (an artificial intelligence tool), can…
- Trial name
- NCT07282184
- Testing
- Neoadjuvant HAIC + Lenvatinib + PD-1 Inhibitor, Curative Liver Resection, Multimodal AI Risk Stratification
- Where
- China
- Volunteers
- 144 people
- Sponsor
- Tongji Hospital
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
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
Nasopharyngeal Cancinoma (NPC), Distant Metastasis
Development and Validation of a Deep Learning Model to Predict Distant Metastases in Nasopharyngeal Carcinoma Using Whole Slide Imaging and MRI
An AI model was developed to predict the likelihood of distant metastasis in patients with nasopharyngeal cancer based on pathology slides and MRI scans of the primary tumor.
- Trial name
- NCT06831357
- Where
- 2 sites in China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Gingival Recessions
AI-Based Prediction of Root Coverage Outcome From Intraoral Photographs
This study evaluates whether the outcome of root coverage surgery can be predicted from a preoperative intraoral photograph. Adults with Cairo RT1,RT2 or RT3 gingival recessions treated with a coronally advanced flap and a…
- Trial name
- NCT07775365
- Testing
- Coronally advanced flap with subepithelial connective tissue graft, Deep learning based prediction of root coverage outcome
- Where
- Turkey (Türkiye)
- Volunteers
- 36 people, healthy volunteers welcome
- Sponsor
- Marmara University
Skin Lesions
Human-AI Uncertainty Callibration for Improved Skin Lesion Segmentation
The goal of this randomized controlled study is to compare the effect of a new, personalized uncertainty-aware decision model (FDM) to a standard image recognition model in improving the diagnostic accuracy while reducing…
- Trial name
- NCT07468357
- Testing
- Base Model, FDM
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation
Colorectal Cancer Liver Metastases (CRLM)
AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)
This multicenter, retrospective study aims to develop and validate a multimodal deep learning model for predicting the risk of metachronous liver metastasis in patients with stage I-III colorectal cancer following curative…
- Trial name
- NCT07399236
- Testing
- Multimodal Deep Learning Model Analysis
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Tongji Hospital
Tumor
Clinical Application Value of Deep Learning-Based "Opportunistic Screening" for Malignant Tumors on Routine Non-Contrast Chest-Abdomen-Pelvis CT
This study aims to develop and validate a deep learning-based opportunistic multi-cancer screening system using routine non-contrast chest-abdomen-pelvis CT examinations, including CHANCE-Breast, CHANCE-Liver, CHANCE-Kidney, and…
- Trial name
- NCT07639567
- Where
- China
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- Lian Yang
Contouring, Segmentation
Locally Optimised Contouring With AI Technology for Radiotherapy
LOCATOR is a multicentre phase II randomised clinical trial that is looking at the process of contouring in radiation treatment for breast cancer patients.
- Conditions
- Contouring, Segmentation, Radiation Therapy, Artificial Intelligence
- Trial name
- LOCATOR (NCT06546592)
- Testing
- AI assisted contouring
- Where
- 3 sites in Australia
- Volunteers
- 444 people, healthy volunteers welcome
- Sponsor
- Royal North Shore Hospital
Hepatocellular Carcinoma (HCC)
Hybrid Deep Learning Integrating Multimodal CEUS and Enhanced MRI to Optimize Early-Stage HCC Treatment Decisions
This study aims to address the issue of a lack of individualized basis for selecting liver resection (LH) or microwave ablation (MWA) in early-stage hepatocellular carcinoma (HCC) patients to reduce the early recurrence rate (≤2…
- Trial name
- HDL-CEUS-MRI (NCT07582419)
- Testing
- surgery, ablation
- Where
- China
- Volunteers
- 1,424 people
- Sponsor
- The First Hospital of Jilin University
Early Pregnancy
Quality Control of Ultrasound Images During Early Pregnancy Via AI
This research integrates artificial intelligence to enhance early pregnancy ultrasonography quality control, focusing on specific fetal sections.
- Trial name
- NCT06002412
- Testing
- Image quality control
- Where
- 4 sites in China
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Chinese Academy of Sciences
Interstitial Lung Disease
Evaluation of the Reproducibility of the Automated Measurement of the Extent of ILD on Chest CT
In interstitial lung disease (ILD), the extent of ILD on chest computed tomography (CT) is recognized as an important prognostic factor.
- Trial name
- REPRO-PID (NCT06743022)
- Testing
- Chest CT
- Where
- 6 sites in France
- Volunteers
- 150 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Anterior Cruciate Ligament (ACL) Tear
Augmented Reality in Surgery
The goal of this observational study is to learn whether an artificial-intelligence software can reliably recognise the anatomical landmarks used to guide femoral bone tunnel placement on the arthroscopic monitor image during…
- Trial name
- ARS (NCT07636278)
- Testing
- Primary arthroscopic anterior cruciate ligament reconstruction
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
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
Genetic Conditions
Observational Study of Advanced Data Analytics in Genetic Conditions
Background: The genes a person is born with can sometimes cause serious diseases. Genetic diseases are rare, but they can have a big impact on the people they affect.
- Trial name
- NCT05657405
- Where
- United States
- Volunteers
- 1,250 people, healthy volunteers welcome
- Sponsor
- National Human Genome Research Institute (NHGRI)
Arrhythmia
Deep Learning for Intelligent Identification of Arrhythmias
This study aims to design and train a deep learning model for the diagnosis of different arrhythmias.
- Trial name
- ECG-LEARNING (NCT05967546)
- Testing
- Observational
- Where
- China
- Volunteers
- 4,000 people
- Sponsor
- First Affiliated Hospital Xi'an Jiaotong University
Artificial Intelligence, Deep Learning
Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features…
- Conditions
- Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node
- Trial name
- NCT05426135
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Glioma
MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new…
- Trial name
- NCT04217018
- Testing
- Prediction of molecular pathology
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhengzhou University