Clinical trials: Deep Learning, open to volunteers
Nasopharyngeal Carcinoma, Herpesvirus 4, Human
Deep Learning-based sbORN Diagnostic Model
Skull-base osteonecrosis (sbORN) is a severe long-term complication of nasopharyngeal carcinoma (NPC) post radiotherapy, which significantly diminish the quality of life, increase the risk of internal carotid artery rupture, and…
- Trial name
- NCT06463392
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 312 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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
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
Valve Disease, Aortic, Mitral Regurgitation (MR)
DELINEATE-Prospective
Heart disease is the leading cause of death in the United States, and echocardiography (or "echo") is the most common way doctors look at the heart.
- Conditions
- Valve Disease, Aortic, Mitral Regurgitation (MR), Aortic Stenosis, Valvular Heart Disease
- Trial name
- DELINEATE (NCT07197736)
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Columbia University
Data Collecting
Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method
The purpose of this study is to collect the macular OCT images and preoperative and postoperative visual acuity of cataract patients who had been operated in the eye center of the Second Affiliated Hospital of Zhejiang University…
- Trial name
- NCT04887909
- Where
- China
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Celiac Disease, Small Bowel Mucosal Atrophy or Lesions
AI System for Detection and Characterization of Chronic Enteropathies
Coeliac disease (CD) is an immune-mediated enteropathy leading to small intestinal mucosal atrophy. Diagnosis relies on serology and duodenal biopsies, but it can be complicated by patchy lesions and differential diagnosis with…
- Conditions
- Celiac Disease, Small Bowel Mucosal Atrophy or Lesions, Non-celiac Enteropathies
- Trial name
- NCT07387185
- Where
- Italy
- Volunteers
- 380 people
- Sponsor
- Istituti Clinici Scientifici Maugeri SpA
Osteoporotic Vertebral Compression Fractures
CT-Based Deep Learning for Differentiating Acute and Chronic Osteoporotic Vertebral Compression Fractures
Osteoporotic vertebral compression fractures are common in older adults and may present as either acute or chronic fractures. Correctly distinguishing acute from chronic fractures is clinically important because treatment…
- Trial name
- CT-DL-OVCF (NCT07306858)
- Testing
- No Intervention (Observational Study)
- Where
- China
- Volunteers
- 276 people
- Sponsor
- Xin Fan
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
Acute Ischemic Stroke
Prognostic Prediction Model of Patients With AcUte Stroke undeRgoing EndOvascular TheRApy (AURORA)
Stroke is the leading cause of disability-adjusted life years (DALYs) in China, imposing a heavy burden on society and families.
- Trial name
- AURORA (NCT06009315)
- Where
- China
- Volunteers
- 949 people
- Sponsor
- Beijing Tiantan Hospital
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
Nasopharyngeal Cancinoma (NPC), Lymph Node Metastasis
A Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma(NPC)
(I) AI Model for Diagnosing Lymph Node Metastasis We developed an AI model to help diagnose whether a single lymph node in nasopharyngeal cancer has spread. The model uses MRI images of the lymph node and the area around it.
- Trial name
- NPC (NCT06829147)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
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
Neurodegenerative Diseases, Aging
Simulation-informed Modelling and Personalized Evaluation (SIMPLE) in Ageing Populations
Multimodal magnetic resonance imaging (MRI), detecting brain structural and functional changes, has emerged as a powerful and promising technique to study individual's brain, as T1-weighted scans can detect morphometric features…
- Conditions
- Neurodegenerative Diseases, Aging, Brain, Cognitive Dysfunction
- Trial name
- NCT06572332
- Where
- Hong Kong
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
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
Ophthalmic Imaging, Deep Learning
Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging
To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging
- Conditions
- Ophthalmic Imaging, Deep Learning, Artificial Intelligence (AI), Traditional Chinese Medicine Constitution
- Trial name
- NCT07127939
- Testing
- AI-based Ocular Diagnosis Model for TCM Constitutions
- Where
- China
- Volunteers
- 1,024 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Pancreatic Cancer, Diagnose Disease
AI-Powered Precision Decision-Making for Pancreatic Diseases
This multicenter clinical trial evaluates an artificial intelligence (AI) system designed to assist in the diagnosis and management of pancreatic diseases.
- Conditions
- Pancreatic Cancer, Diagnose Disease, IPMN, Pancreatic, Pancreatic Cystic Lesions
- Trial name
- NCT07439757
- Testing
- Diagnosis by Artificial Intelligence model
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Changhai Hospital
Intracranial Aneurysm, CT Angiography
IDEAL Study: Blinded RCT for the Impact of AI Model for Cerebral Aneurysms Detection on Patients' Diagnosis and Outcomes
This study (IEDAL study) intends to prospectively enroll more than 6450 patients who will undergo head CT angiography (CTA) scanning in the outpatient clinic.
- Conditions
- Intracranial Aneurysm, CT Angiography, Deep Learning, Double Bind Interaction
- Trial name
- IDEAL (NCT06118840)
- Testing
- True-AI-integrated intracranial aneurysms diagnosis strategy
- Where
- 21 sites in China
- Volunteers
- 6,450 people, healthy volunteers welcome
- Sponsor
- Jinling Hospital, China
Acute Cardiovascular Disease, ST-segment Elevation Myocardial Infarction (STEMI)
MAchine Learning to Boost the Early Diagnosis of Acute Cardiovascular Conditions
The research project aims to develop clinical decision support tools integrating established diagnostic variables and machine learning (ML) models for rapid diagnosis of acute life-threatening cardiovascular conditions in…
- Conditions
- Acute Cardiovascular Disease, ST-segment Elevation Myocardial Infarction (STEMI), NSTEMI - Non-ST Segment Elevation MI
- Trial name
- MALBEC (NCT06927791)
- Testing
- Machine learning based development of a diagnostic tool for acute cardiovascular disease
- Where
- Switzerland
- Volunteers
- 200,000 people
- Sponsor
- University Hospital, Basel, Switzerland
Non-Alcoholic Fatty Liver Disease
Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver
The purpose of this study is to quantitatively assess the changes in liver fat content in cancer patients before and after treatment.
- Trial name
- NCT06735118
- Testing
- Neoadjuvant chemotherapy
- Where
- China
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Yunnan Cancer Hospital
Endometriosis, Adenomyosis of Uterus
Artificial Intelligence Into Ultrasound Diagnostics in Reproductive Medicine
The goal of this observational study is to develop and validate artificial intelligence (AI)-based algorithms that support ultrasound diagnosis of endometriosis, adenomyosis, myometrial masses, uterine malformations, and impaired…
- Conditions
- Endometriosis, Adenomyosis of Uterus, Leiomyoma (Uterine Fibroids), Uterine Neoplasms
- Trial name
- AUDRIE (NCT07810920)
- Where
- Hungary
- Volunteers
- 1,600 people
- Sponsor
- Semmelweis University