Clinical trials: Deep Learning
Reproductive Medicine
Application of Deep Learning to Jointly Assess Embryo Development to Improve Pregnancy Outcome of Embryo Transfer
Aim of this research is to apply the deep learning automation based on Time-lapse imaging to jointly assess embryo development，so that it can ensure the consistency of embryo evaluation and improve the accuracy of evaluation.
- Trial name
- NCT05671601
- Testing
- Automatic picture recognition, Manual Assessment Group
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Acute Cholecystitis
Diagnostic Value of Deep Learning-Based Rapid MRI in Preoperative Evaluation of Acute Cholecystitis
This is a single-center, prospective observational study at Peking Union Medical College Hospital. The main goal is to evaluate the image quality and clinical value of a new fast abdominopelvic MRI sequence that uses deep…
- Trial name
- NCT07551375
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Peking Union Medical College Hospital
Malocclusion, Craniofacial Morphology
Research on Deep Learning-Based Intelligent Diagnosis and Treatment
This study aims to develop and evaluate deep learning-based artificial intelligence models for craniomaxillofacial multi-modal imaging analysis and clinical decision support.
- Conditions
- Malocclusion, Craniofacial Morphology, Dentofacial Deformities
- Trial name
- NCT07551622
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xi'an Jiaotong University
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension
Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated.
- Trial name
- AIPHY (NCT05566002)
- Testing
- Right heart catheterization
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Chinese Pulmonary Vascular Disease Research Group
Chronic Pain
Transcranial Direct Current Stimulation and Chronic Pain
This clinical trial uses transcranial direct current stimulation (tDCS) using the patented tKIWI system to safely reduce self-reported chronic pain with little to no side effects to improve our understanding and ability to…
- Trial name
- tDCS (NCT05863494)
- Testing
- Transcranial Direct Current Stimulation (tDCS)
- Where
- United States
- Volunteers
- 40 people
- Sponsor
- University of Arizona
Myopic Choroidal Neovascularization
Deep Learning-Based OCTA Quantification and Modeling for Predicting Long-Term Anti-VEGF Efficacy in mCNV
Myopic choroidal neovascularization (mCNV) is one of the sight-threatening complications secondary to pathological myopia. Intravitreal injection of anti-vascular endothelial growth factor (VEGF) is its first-line therapy.
- Trial name
- NCT07402629
- Testing
- No interventions beyond routine medical care
- Volunteers
- 110 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Atrial Fibrillation
A Ring-type Wearable Device for Atrial Fibrillation Among Ambulatory Patients
This study investigates diagnostic performance of a ring-type wearable device for detecting atrial fibrillation. This is a prospective cohort registry study began after the date of IRB approval and until 31th Dec. 2023.
- Trial name
- NCT04024124
- Where
- South Korea
- Volunteers
- 100 people
- Sponsor
- Seoul National University Hospital
Hemorrhage Stroke
Hemorrhage Stroke Decision Making Model Based Deep Learning (BrainHemoAI System)
Although hemorrhagic stroke also has the characteristics of high mortality and disability rates, and constitutes a major public health problem worldwide, there is a relative lack of in-depth research teams for hemorrhagic stroke…
- Trial name
- NCT07570680
- Testing
- Large language model
- Where
- China
- Volunteers
- 7,100 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Parkinson's Disease
Kinematic and Neural Dynamics of Postural Instability in Parkinson's Disease
Balance problems and falls are among the most common complaints in Veterans with Parkinson's Disease (PD), but there are no effective treatments and the ability to measure balance and falls remains quite poor.
- Trial name
- NCT06405334
- Where
- United States
- Volunteers
- 100 people
- Sponsor
- VA Office of Research and Development
Retina Disorder
A New Technique For Retinal Disease Treatment
With the advent of the era of precision medicine, based on FFA image deep learning to identify the area of fundus lesions, registration of fundus images, according to the severity of fundus diseases to design the optimal laser…
- Trial name
- NCT04718532
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Artificial Intelligence, Ultrasonography
Assessment of Liver Diseases Using a Deep-Learning Approach Based on Ultrasound RF-Data
The goal of this clinical trial is to test the performance of neuronal networks trained on ultrasonic raw Data (=radiofrequency data) for the assessment of liver diseases in patients undergoing a clinical ultrasound examination.
- Conditions
- Artificial Intelligence, Ultrasonography, Elasticity Imaging Techniques, Liver Diseases
- Trial name
- LivSPECTRUS (NCT06317181)
- Testing
- Collection of elastography data, Collection of ultrasonic raw data
- Where
- 4 sites in Germany
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Technische Universität Dresden
Chronic Pain, Cancer Pain
Refining mUltiple Artificial intelliGence strateGies for Automatic Pain Assessment Investigations: RUGGI Study
This single-center, non-profit, observational-interventional study aims to develop artificial intelligence (AI) models for the automatic assessment of chronic pain (APA - Automatic Pain Assessment).
- Conditions
- Chronic Pain, Cancer Pain, Neuropathic Pain, Pain Assessment
- Trial name
- RUGGI (NCT07038434)
- Testing
- Multimodal AI-Based Pain Assessment
- Where
- Italy
- Volunteers
- 200 people
- Sponsor
- Valentina Cerrone
Duchenne Muscular Dystrophy, Becker Muscular Dystrophy
Brain Involvement in Dystrophinopathies Part 2
The objective of this study is to understand the relationship between DMD and BMD brain comorbidities, and the location of the gene mutation which causes the disease.
- Trial name
- NCT04668716
- Where
- 7 sites in Denmark, France and 4 more
- Volunteers
- 339 people, healthy volunteers welcome
- Sponsor
- Great Ormond Street Hospital for Children NHS Foundation Trust
Pancreatic Adenocarcinoma
Multimodal Deep Learning Model Predicts Pancreatic Cancer Prognosis
This study describes the development and validation of a deep learning prediction model, which extracts deep learning features from preoperative enhanced CT scans and analyzes postoperative pathological specimens of pancreatic…
- Trial name
- NCT06760234
- Testing
- No Interventions
- Where
- China
- Volunteers
- 247 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Lung Cancer
Multicenter Clinical Research for Early Diagnosis of Lung Cancer Using Blood Plasma Derived Exosome
Lung cancer is a leading cause of cancer death worldwide. Early diagnosis is linked to a better prognosis. Further, surgical resection at the early stages of non-small cell lung cancer (NSCLC) results in markedly improved…
- Trial name
- NCT04529915
- Testing
- Exosome sampling
- Where
- South Korea
- Volunteers
- 470 people, healthy volunteers welcome
- Sponsor
- Korea University Guro Hospital
Childhood Obesity
Latinx Family Wellness
Childhood is an opportune time to intervene in obesity because behaviors that are developed during this time can have long-lasting effects and disrupt trajectories of obesity.
- Trial name
- NCT05735600
- Testing
- AyuDa Virtual: Aprender y Utilizar Decisiones Apreciables (Spanish) - Learning and Utilizing Significant Choices (English), AyuDa Written: Aprender y Utilizar Decisiones Apreciables (Spanish) - Learning and Utilizing Significant Choices (English)
- Where
- 2 sites in United States
- Volunteers
- 57 people, healthy volunteers welcome
- Sponsor
- Ana Maria Linares
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
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
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
Neurodevelopmental Disorders, Attention Deficit Hyperactivity Disorder
Pai.ACT Programme for Parents of Children With Special Healthcare Needs - Phase I
This study aims to determine the feasibility, acceptability and potential efficacy of an individual, video-conferencing based Focused Acceptance and Commitment Therapy (FACT) on the mental well-being of parents of children with…
- Conditions
- Neurodevelopmental Disorders, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder, Development Delay
- Trial name
- NCT05584059
- Testing
- Focused Acceptance and Commitment Therapy
- Where
- 5 sites in Hong Kong
- Volunteers
- 150 people
- Sponsor
- Chinese University of Hong Kong