Clinical trials: Deep Learning, open to volunteers
Hepatecellular Carcinoma, Hepatectomy
AI-Based Prediction of HCC Recurrence Patterns After Resection (APAR)
This observational study aims to validate a deep learning model for predicting aggressive recurrence patterns in patients with early-stage liver cancer (HCC) after surgery.
- Trial name
- NCT07062380
- Testing
- Curative liver resection, Real-world multimodal therapy
- Where
- China
- Volunteers
- 353 people
- Sponsor
- Tongji Hospital
Parkinson's Disease (PD)
Movement State-dependent Adaptive DBS for PD
This is a single-center clinical study aiming to improve gait functions in patients with Parkinson's Disease (PD) by using adaptive neurostimulation to the pallidum.
- Trial name
- NCT07424508
- Testing
- Summit RC+S
- Where
- United States
- Volunteers
- 6 people
- Sponsor
- Doris Wang, MD, PhD
Lung Cancer (Diagnosis), Deep Vein Thrombosis (DVT)
Study of Risk Factors and Prediction of Blood Clots After Lung Cancer Surgery
The goal of this observational study is to learn about the risk factors and prediction of postoperative venous thromboembolism (VTE) in patients undergoing lung cancer surgery.
- Conditions
- Lung Cancer (Diagnosis), Deep Vein Thrombosis (DVT), Venous Thromboembolism (VTE)
- Trial name
- NCT07439991
- Testing
- Prospective Perioperative Data Collection
- Where
- China
- Volunteers
- 900 people
- Sponsor
- The First Hospital of Jilin University
HCC
Efficacy and Safety of Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model.
Primary liver cancer is one of the most common malignant tumors in the world, and more than 90% of primary liver cancers are pathologically characterized as hepatocellular carcinoma (HCC).
- Trial name
- NCT06311916
- Testing
- HAIC + Tirelizumab +lenvatinib +liver resection, liver resection
- Volunteers
- 312 people
- Sponsor
- Chen Xiaoping
Gastric Cancer (GC), Locally Advanced Gastric Cancer
Multimodal AI for Predicting Response to Neoadjuvant Immunotherapy in Gastric Cancer (PRISM-GC)
Gastric cancer is a major global health challenge. Currently, a combination of chemotherapy and immunotherapy (PD-1 inhibitors) is frequently used before surgery to shrink tumors, a strategy known as neoadjuvant therapy.
- Trial name
- NCT07401199
- Testing
- Standard of Care PD-1 Inhibitors, Multimodal AI Assessment
- Where
- 9 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Qun Zhao
Deep Learning, Corneal Disease
Artificial Intelligence for Screening of Multiple Corneal Diseases
This study developed a deep learning algorithm based on anterior segment images and prospectively validated its ability to identify corneal diseases.The effectiveness and accuracy of this algorithm was evaluated by sensitivity…
- Conditions
- Deep Learning, Corneal Disease, Screening
- Trial name
- NCT06211218
- Testing
- Cornea diseases diagnosed by artificial intelligence algorithm
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Tianjin Eye Hospital
Deep Learning, Head & Neck Squamous Cell Carcinoma
A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data
Based on multimodal data, the investigators establish a dynamic deep learning model to conduct prognostic risk assessment for patients and recommend the 'most suitable' treatment/follow-up regimen after radical treatment…
- Trial name
- NCT07532928
- Where
- China
- Volunteers
- 571 people
- Sponsor
- Nanfang Hospital, Southern Medical University
Uveitis
PANDA-ASOCT: Paediatric Anterior Uveitis Detection With Automated Image Analysis Using ASOCT
Uveitis is an inflammation inside the eye. Although rare, it is an important auto-inflammatory eye condition that affect children and young people (CYP).
- Trial name
- PANDA (NCT07813598)
- Testing
- Slit Lamp Examination, Anterior segment ocular coherence tomography (ASOCT)
- Where
- United Kingdom
- Volunteers
- 300 people
- Sponsor
- Sheffield Children's NHS Foundation Trust
Cardiac Arrhythmias, Acute Myocardial Infarction (AMI)
Predict Arrhythmia Risk Using Intelligent Software
Cardiac arrhythmias frequently occur in patients admitted to the Coronary Care Unit (CCU). The majority of these patients are treated for an acute myocardial infarction, which carries an increased risk of life-threatening…
- Conditions
- Cardiac Arrhythmias, Acute Myocardial Infarction (AMI), Ventricular Tachycardia (VT), Ventricular Fibrillation
- Trial name
- PARIS (NCT07792694)
- Where
- Netherlands
- Volunteers
- 3,000 people
- Sponsor
- Catharina Ziekenhuis Eindhoven
Kawasaki Disease, Chest X-ray for Clinical Evaluation
Clinical Study on an Artificial Intelligence-Assisted Chest Radiograph Model Based on Big Data and Deep Learning for Early Detection of Kawasaki Disease
The goal of this observational study is to develop an AI-based early warning system for Kawasaki Disease (KD) using chest X-rays (CXR) in children diagnosed with Kawasaki Disease. The main question[s] it aims to answer are: 1.
- Conditions
- Kawasaki Disease, Chest X-ray for Clinical Evaluation, Mucocutaneous Lymph Node Syndrome
- Trial name
- NCT07405658
- Testing
- AI-Based Early Warning System for Kawasaki Disease
- Where
- China
- Volunteers
- 20,000 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Sports Cardiology, Preventive Cardiology
Deep Learning ECG Evaluation and Clinical Assessment for Competitive Sport Eligibility
The goal of this observationl study is to evaluate the possibility of building a Deep Learning (DL) model capable of analyzing electrocardiographic traces of athletes and providing information in the form of a probability…
- Conditions
- Sports Cardiology, Preventive Cardiology, Electrocardiogram, Artificial Intelligence
- Trial name
- VALETUDO (NCT06285084)
- Where
- Italy
- Volunteers
- 531 people, healthy volunteers welcome
- Sponsor
- I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
Bladder Cancer
Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Bladder Cancer
Bladder cancer (BLCA), with its diverse histopathological features and varying patient outcomes, poses significant challenges in diagnosis and prognosis.
- Trial name
- NCT06389019
- Testing
- Deep learning system for prognostication prediction in bladder cancer
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Mingzhao Xiao
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Coronary Artery Disease, Coronary Artery Stenosis Stent
Deep Learning CAD Screening on Chest CT
Coronary artery disease (CAD) is one of the leading causes of death worldwide. Many people have early atherosclerosis without symptoms, and some may develop significant coronary stenosis before any warning signs appear.
- Trial name
- CAD-AI (NCT07181512)
- Testing
- Deep Learning Analysis of Non-contrast Chest CT
- Where
- 2 sites in China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Yifan Guo
Education, Joint Diseases
The Application of Artificial Intelligence in Wrist and Hand Joint Ultrasound
1. To develop an AI system that can automatically identify standard sections and save images during wrist and hand joint ultrasound scans, while labeling key anatomical structures. 2.
- Trial name
- NCT06883669
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- West China Hospital
Renal Tumors
Federated Learning in Renal Tumor Model
This is a multicenter, retrospective and prospective diagnostic clinical trial evaluating the effectiveness and safety of CascadeDiagnose Renal Tumor CT, an AI-assisted detection system for renal tumors based on contrast-enhanced…
- Trial name
- NCT07841756
- Where
- 6 sites in China
- Volunteers
- 3,000 people
- Sponsor
- First Affiliated Hospital of Guangxi Medical University
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
Cardiovascular Diseases, Coronary Artery Disease
AI-Powered Electrocardiography for Diagnosis and Prognostic Prediction in Cardiovascular Disease (AI-CVD): Multicenter Retrospective Study
This multicenter retrospective study aims to develop, validate, and clinically apply an artificial intelligence (AI)-powered electrocardiography (ECG) algorithm for the diagnosis and prognostic prediction of cardiovascular…
- Conditions
- Cardiovascular Diseases, Coronary Artery Disease, Heart Failure, Atrial Fibrillation (AF)
- Trial name
- AI-CVD (NCT07856472)
- Testing
- Retrospective ECG Data Analysis
- Where
- South Korea
- Volunteers
- 10,000 people
- Sponsor
- Inha University Hospital
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Pulmonary Nodules
Multicenter Prospective Validation of AI Models for Malignancy Risk Prediction in Pulmonary Nodules
This multicenter prospective diagnostic accuracy study will compare the performance of three artificial intelligence (AI) models (MVCS, LungDoc, and a United Imaging AI model) for predicting the malignancy risk of pulmonary…
- Trial name
- NCT07727122
- Where
- 5 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital