Clinical trials: Deep Learning, open to volunteers
Snake Bite
Multicenter Application Verification and Effect Evaluation of Artificial Intelligence-Based Snake Species Identification System in the Diagnosis and Treatment of Snakebites
This multicenter prospective observational study aims to develop and validate a deep learning-based artificial intelligence snake species identification system, and evaluate its clinical application efficacy in real-world…
- Trial name
- NCT07658885
- Testing
- SSRS system-assisted snake species identification
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Coronary Artery Calcification, Cardiovascular Risk
Artificial Intelligence - Based Opportunistic Coronary Artery Calcium Scoring on Routine Chest-CT Scan
This retrospective, non-interventional study externally validates a pre-trained open-weight deep-learning algorithm (Swin-UNETR) for the opportunistic quantification of coronary artery calcium (CAC) on non-gated routine chest CT…
- Conditions
- Coronary Artery Calcification, Cardiovascular Risk, Coronary Artery Disease, End-Stage Renal Disease Requiring Haemodialysis
- Trial name
- NCT07808593
- Volunteers
- 1,950 people
- Sponsor
- University of Cologne
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
Testicular Appendix Torsion, Testicular Torsion
Deep Learning-Assisted Ultrasonic Diagnosis and Localization of Testicular Appendix Torsion
Ultrasound data were both retrospectively and prospectively collected from the primary center and six other sub-centers. Combined with clinical diagnostic outcomes, the data labeling was completed by physicians with extensive…
- Conditions
- Testicular Appendix Torsion, Testicular Torsion, Epididymitis
- Trial name
- NCT07301086
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Ying Jiang
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
Bone Marrow Transplantation, AML
Model-Informed Precision Dosing on Cyclosporine Therapy in Hematopoietic Stem Cell Transplant Recipients
The purpose of this study is to develop a new tool that helps doctors choose the right cyclosporine dose for patients undergoing bone marrow transplantation.
- Trial name
- NCT07695571
- Volunteers
- 300 people
- Sponsor
- Yasmin medhat munir Mohamed
Lung Cancer
Integrating Artificial Intelligence Into Lung Cancer Screening.
Lung cancer (LC) screening using low-dose chest CT (LDCT) has already proven its efficacy. The mortality reduction associated with LC screening is around 20%, much higher than the reduction in mortality associated with screening…
- Trial name
- DACAPO (NCT05704920)
- Testing
- IA, Not IA
- Where
- France
- Volunteers
- 2,722 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
Parkinson Disease, Multiple System Atrophy
Facilitating Diagnostics and Prognostics of Parkinsonian Syndromes Using Neuroimaging
The goals of this study are: 1) to identify biomarkers using neuroimaging that are associated with progression rate using statistical methods, and 2) to identify biomarkers that are associated with the differential diagnosis of…
- Conditions
- Parkinson Disease, Multiple System Atrophy, Progressive Supranuclear Palsy
- Trial name
- NCT03872102
- Where
- United States
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- University of Texas Southwestern Medical Center
Paediatric Patients
A Fast, Quiet, Artificial Intelligence-based PET/MR Solution for Paediatric Diseases
To investigate the feasibility of deep learning-assisted rapid silent PET/MR in pediatric applications.
- Trial name
- NCT06709690
- Where
- China
- Volunteers
- 35 people
- Sponsor
- Ruijin Hospital
Sarcopenia, Body Composition
Validation of a Body-Composition Segmentation Software on a Diverse Public CT Scan Cohort
This study evaluates the standalone performance of Soma, a deep-learning software developed by Nucleo Research, Inc. for the automated segmentation of body-composition tissues (skeletal muscle, subcutaneous adipose tissue…
- Conditions
- Sarcopenia, Body Composition, Obesity
- Trial name
- SOMA (NCT07600866)
- Testing
- Soma Body-Composition Segmentation Software
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Nucleo Research, Inc.
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
Esophagus Cancer
Multimodal Deep Learning for Predicting Treatment Response to Neoadjuvant Chemoimmunotherapy in Esophageal Cancer
This observational study aims to investigate a clinical cohort of patients with locally advanced esophageal cancer undergoing neoadjuvant chemoimmunotherapy.
- Trial name
- NCT07063901
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Central South University
Radiology, Cerebral Stroke
Deep Enhanced Imaging in Stroke and Vascular Neurology
To investigate the performance of enhanced computed tomography (CT) or magnetic resonance (MR) imaging by deep learning relative to conventional CT or MR imaging in brain stroke and vascular neurology.
- Conditions
- Radiology, Cerebral Stroke, Vascular Diseases
- Trial name
- NCT05614193
- Testing
- Deep learning imaging enhancement
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Chinese PLA General Hospital
Papillary Thyroid Carcinoma, Thyroid Neoplasms
RET-US Study - Ultrasound-Based Prediction of RET Alterations and Lateral-Neck Metastasis in Thyroid Cancer
Why is this study being done? RET gene alterations occur in only 5-10 % of papillary thyroid cancers, but they can change how surgeons treat the disease.
- Conditions
- Papillary Thyroid Carcinoma, Thyroid Neoplasms, RET Proto-Oncogene Mutation, Lymphatic Metastasis
- Trial name
- RET-US (NCT07042984)
- Testing
- AI-Ultrasound RET Prediction
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Fujian Medical University
Otalgia, Otitis Media
Validating and AI Software for Assessment of Children With Ear Concerns
The goal of this observational study is to determine if the Glimpse machine learning algorithm can accurately assess ear diseases in children.
- Conditions
- Otalgia, Otitis Media, Otitis Media Effusion
- Trial name
- NCT07243093
- Volunteers
- 658 people
- Sponsor
- Glimpse Diagnostics, Inc.
Parkinson Disease, Alzheimer Disease
Application of AI Technology for the Diagnosis and Treatment of Geriatric Diseases
1) Characteristics of handwriting, gait, speech, eye movements, biological samples (blood, urine, stool, saliva, etc.), images, EEG, and other relevant markers in patients with Alzheimer's disease.
- Conditions
- Parkinson Disease, Alzheimer Disease, Nervous System Diseases, Geriatric Diseases
- Trial name
- NCT06295263
- Testing
- Handwriting, gait, speech, eye movements, biological samples (blood, urine, stool, saliva, etc.), images, EEG, and other relevant markers
- Where
- China
- Volunteers
- 460 people, healthy volunteers welcome
- Sponsor
- Qilu Hospital of Shandong University
Alzheimer Disease (AD)
Generation of Synthetic [18F]FDG PET From Early-Phase Amyloid PET in Alzheimer's Disease
This study aims to test a new artificial intelligence (AI) method to create brain scan images without needing an extra scan. Currently, patients with memory problems often undergo two types of PET scans (Amyloid PET and FDG PET)…
- Trial name
- NCT07431255
- Where
- Italy
- Volunteers
- 35 people
- Sponsor
- IRCCS San Raffaele
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
Glioma
Histopathology Images 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 images of HE slices in…
- Trial name
- NCT04217044
- Testing
- Histopathology images based prediction of molecular pathology
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Vascular Access Devices
AI-Based Analysis of Port Catheter Tip Position
This prospective, single-center observational study will evaluate the performance of an artificial intelligence (AI)-based automated image-analysis method that will be developed, internally tested, and locked before prospective…
- Trial name
- NCT07791875
- Testing
- AI-Based Automated Image Analysis, Manual A+B Measurement Method
- Where
- Turkey (Türkiye)
- Volunteers
- 100 people
- Sponsor
- Bagcilar Training and Research Hospital