Clinical trials: Deep Learning, open to volunteers
Mediastinum Disease
Clinical Research on a Novel Deep-learning Based System in Mediastinal Endoscopic Ultrasound Scanning
The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in mediastinal ultrasound endoscopic scanning.
- Trial name
- NCT05792280
- Testing
- AI system
- Where
- China
- Volunteers
- 180 people, healthy volunteers welcome
- Sponsor
- The Third Xiangya Hospital of Central South University
Natural Killer/T-cell Lymphoma
Multi-modal Fusion Model and Deep Learning for Predicting Treatment Response in NKTCL
This is a multicenter prospective study to develop and validate a multimodal, deep learning-based model for predicting treatment response in patients with extranodal natural killer/T-cell lymphoma (NKTCL) receiving first-line…
- Trial name
- NCT07409168
- Volunteers
- 100 people
- Sponsor
- Sun Yat-sen University
Breast Cancer
AI Model for Classifying Breast Cancer From Histopathology Images
Breast cancer, a prevalent and potentially fatal disease, underscores the need for early and accurate detection to improve patient outcomes.
- Trial name
- NCT06717984
- Testing
- Biopsy, Mastectomy, Histopathology
- Where
- Bangladesh
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Taufiq Hasan, PhD
Cancer Diagnosis, Liver Cancer, Adult
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening.
- Conditions
- Cancer Diagnosis, Liver Cancer, Adult, Cancer Screening, Colorectal Cancer (CRC)
- Trial name
- NCT06822413
- Testing
- No Interventions
- Where
- 4 sites in China
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Hepatocellular Carcinoma
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
Hepatocellular carcinoma (HCC) is a common liver cancer, and many patients cannot receive surgery. For these patients, transarterial chemoembolization (TACE) is an important treatment.
- Trial name
- NCT07235410
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Breast Cancer Detection, Early Detection of Cancer
AI-Based Self-Supervised Learning Model Using Non-Contrast Breast MRI for Early Screening and Clinical Utility Evaluation
Breast cancer is the most common malignant disease among women worldwide, with rising incidence and younger age at onset in China.
- Conditions
- Breast Cancer Detection, Early Detection of Cancer, AI (Artificial Intelligence)
- Trial name
- B-MRI-AI (NCT07205276)
- Testing
- Non-contrast multiparametric breast MRI with AI-based radiomics analysis, Standard radiologist reading of non-contrast multiparametric breast MRI
- Volunteers
- 30,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Thyroid Nodule
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
The prospective study aim to develop a multimodal deep learning model that integrates ultrasound images and cytological whole-slide images for more accurate malignant risk prediction of Bethesda III thyroid nodules.
- Trial name
- NCT07488325
- Testing
- Histopathology or cytopathology.
- Where
- China
- Volunteers
- 396 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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
Cerebral Palsy (CP)
Feasibility and Discriminant Validity of Monitoring Movement Behavior of Adolescents With Cerebral Palsy
A new artificial intelligence network has been developed to monitor real-world daytime and nighttime movement behavior of adolescents with cerebral palsy (CP).
- Trial name
- NCT06090383
- Where
- Denmark
- Volunteers
- 25 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Echocardiography, Artificial Intelligence
Diagnostic Accuracy of a Deep Learning-Based Software for Automated Multiparametric Echocardiographic Measurements
Transthoracic echocardiography is an essential imaging modality for the diagnosis and follow-up of cardiovascular diseases. Comprehensive echocardiographic assessment requires multiple quantitative measurements of cardiac…
- Conditions
- Echocardiography, Artificial Intelligence, Diagnostic Imaging
- Trial name
- PANECHO (NCT07738419)
- Where
- Italy
- Volunteers
- 1,157 people
- Sponsor
- Centro Cardiologico Monzino
Bladder Cancer, Staging
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 cancer is the most common malignant tumor of the urinary system. The presence or absence of muscle invasion in early bladder cancer is an independent prognostic factor.
- Conditions
- Bladder Cancer, Staging, Deep Learning, Neoadjuvant Chemotherapy
- Trial name
- MICS-BC (NCT07051083)
- Testing
- Risk Stratification
- Where
- China
- Volunteers
- 480 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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.
Congenital Microtia
Deep Learning for Flap Perfusion Detection
The aim of this study is to develop a convolutional neural network-based image recognition model to identify flap perfusion abnormalities after first-stage auricular reconstruction in patients with congenital microtia.
- Trial name
- DL-FPA (NCT07846332)
- Testing
- AI-assisted remote monitoring of flap perfusion abnormalities after first-stage auricular reconstruction
- Where
- China
- Volunteers
- 232 people
- Sponsor
- Jing Xu
Root Canal
AI-Based Root Canal Length, Curvature, and Morphology Assessment Using CBCT
The primary aim of this study is to develop, evaluate, and validate a deep learning-based software system capable of generating automated, comprehensive clinical reports that detect, segment, and quantify root canal curvature…
- Trial name
- NCT07843992
- Testing
- AI-Based Deep Learning System for Root Canal Assessment
- Volunteers
- 155 people, healthy volunteers welcome
- Sponsor
- Cairo University
Liver Transplant Disorder, Self Efficacy
Effectiveness of Intelligent Case Manage Platform in Liver Transplant Recipients
This study is a prospective, quasi-experimental design, with an experimental group and a control group, will be created. The aims of this study are as follows: 1.
- Conditions
- Liver Transplant Disorder, Self Efficacy, Quality of Life
- Trial name
- ICMP (NCT05953948)
- Testing
- Intelligent Case Manage Platform (ICMP) and self-management program
- Where
- Taiwan
- Volunteers
- 333 people
- Sponsor
- Chang Gung University
General Surgery, Oncology
3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin
This retrospective study aims to develop an AI-assisted 3D modeling system to improve staging accuracy for stage II-III locally advanced rectal cancer (LARC).
- Conditions
- General Surgery, Oncology, Medical Informatics
- Trial name
- NCT07183124
- Testing
- AI-Assisted 3D Imaging Model for Tumor and CRM Assessmen
- Where
- Taiwan
- Volunteers
- 1,500 people
- Sponsor
- Taichung Veterans General Hospital
Thyroid Neoplasms, Hyperparathyroidism
Dual-Channel Near-Infrared Autofluorescence Imaging and AI Analysis to Locate Parathyroid Glands (PTFinder)
This study tests PTFinder, a dual-camera system that makes parathyroid glands glow on screen by capturing their natural near-infrared autofluorescence.
- Conditions
- Thyroid Neoplasms, Hyperparathyroidism, Parathyroid Gland
- Trial name
- PTFinder (NCT07010380)
- Testing
- PTFinder Dual-Channel NIR Autofluorescence Imaging System, Offline Machine-Learning Algorithm (PTFinder-AI Beta)
- Where
- China
- Volunteers
- 180 people
- Sponsor
- Bo Wang,MD
Gynecologic Cancer, Cervical Cancer
Intraoperative Microscopic Assessment of Lymph Node Status in Gynecological Malignancies
The IMAGINE study is a monocentric, observational, prospective study evaluating the diagnostic performance of Full-Field Optical Coherence Tomography (FF-OCT) combined with Dynamic Cell Imaging (DCI) (Van Gogh System, AQUYRE…
- Conditions
- Gynecologic Cancer, Cervical Cancer, Endometrial Cancer, Ovary Cancer
- Trial name
- IMAGINE (NCT07702721)
- Volunteers
- 160 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
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
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