Clinical trials: Learning Model, open to volunteers
Choledocholithiasis
Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis
Machine learning predictive model can help in stratifying heterogenous intermediate likelihood group to reduce need for EUS or MRCP in selected subgroup of patients.
- Trial name
- NCT06066372
- Where
- India
- Volunteers
- 1,000 people
- Sponsor
- Asian Institute of Gastroenterology, India
Prostate Cancer (Diagnosis), Clinically Significant Prostate Cancer
Multimodal Imaging and Digital Pathology for Prostate Cancer Prediction
This is a multicenter observational study. A deep learning model integrated with multimodal imaging and digital pathology spatial registration is built based on preoperative multiparametric magnetic resonance imaging, transrectal…
- Trial name
- NCT07614256
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Guangxi Medical University
Non-Small Cell Lung Cancer, Brain Metastases
Retrospective Multicenter Study of Patient-level T1CE/FLAIR MRI Deep Learning to Predict EGFR/ALK Driver Status in NSCLC Brain Metastases With External Validation and Survival Analysis
This retrospective multicenter observational study aims to develop and externally validate a noninvasive deep learning model based on routine brain MRI to identify actionable driver alterations in patients with non-small cell…
- Trial name
- DL-DriverBM (NCT07373951)
- Where
- China
- Volunteers
- 380 people
- Sponsor
- Ming Yang
Stroke, Dyslexia, Acquired
Acquired Dyslexia Modeling and Treatment
This study is a low-risk, early phase 1, multicenter trial to test the use of a computational (neural network) cognitive model of reading to simulate acquired dyslexia and its treatment.
- Trial name
- AMT (NCT07209488)
- Testing
- Phono-Motor Therapy, Semantic Feature Analysis
- Where
- 3 sites in United States
- Volunteers
- 12 people
- Sponsor
- Rutgers, The State University of New Jersey
Hypertensive Disorders of Pregnancy (HDP)
Roy Adaptation Model-Based Prenatal Education in Hypertensive Pregnant Women
This study aims to evaluate the effect of Roy Adaptation Model-based prenatal education on perceived stress and quality of life in pregnant women with hypertensive disorders of pregnancy.
- Trial name
- NCT07820306
- Testing
- Roy Adaptation Model-Based Prenatal Education
- Where
- Turkey (Türkiye)
- Volunteers
- 54 people
- Sponsor
- Istanbul University - Cerrahpasa
Autism, Sociocommunicative Challenges
Improving Autism Program Quality in Special Education Units: The Use of an APERS-based Model to Support Student Learning and Participation
This study assesses the effect of using the Autism Program Environment Rating Scale (APERS) as a tool for providing feedback, in-service training, and coaching to school staff in order to improve program quality in special…
- Trial name
- NCT07830160
- Testing
- APERS+
- Where
- Sweden
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Stockholm University
Education, Education, Medical, Undergraduate
3D Eye Movement Simulator for Medical Education
The goal of this clinical trial is to evaluate whether a new 3D-printed eyeball movement simulator improves medical education compared to traditional teaching methods.
- Conditions
- Education, Education, Medical, Undergraduate, Education, Medical
- Trial name
- NCT07031960
- Testing
- 3D Eyeball Movement Simulator Group, Conventional Teaching Methods Group
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Isfahan University of Medical Sciences
Pregnancy
Podcast-Supported Prenatal Education Based on the Health Promotion Model
This randomized controlled trial aims to evaluate the effect of podcast-supported prenatal education based on the Health Promotion Model on empowerment, healthy lifestyle behaviors, and quality of life among pregnant women.
- Trial name
- PPE-HPM (NCT07814768)
- Testing
- Podcast-Supported Prenatal Education Based on the Health Promotion Model
- Where
- 2 sites in Turkey (Türkiye)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Tokat Gaziosmanpasa University
Triple -Negative Breast Cancertriple, Meta-Learning
Establishment of a Multi-omics Prediction Model for Early Triple-negative Breast Cancer Based on UPGRADE-TNBC Study
Based on the UPGRADE-TNBC study, a high-quality TNBC sample repository was established. By integrating multi-source data-including clinical information, radiomics, pathological images, and molecular sequencing-and innovatively…
- Conditions
- Triple -Negative Breast Cancertriple, Meta-Learning, Predictive Models, Multimodal
- Trial name
- NCT07773818
- Testing
- Collect data
- Where
- China
- Volunteers
- 32 people
- Sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Health Behaviour, Risk Behavior, Health
The Effect of Education Given to International University Students in Line With the Health Belief Model on Health Perception and Risky Behaviors
The World Health Organization defines health as a state of complete physical, mental, and social well-being. Health is a process in which individuals adapt to environmental changes, and this process is influenced by beliefs…
- Trial name
- NCT07057882
- Testing
- Health Belief Model-based Education
- Volunteers
- 25 people, healthy volunteers welcome
- Sponsor
- Sakarya University
Dyslexia
Validating a Neurocognitive Remediation Model for Visual-Attentional Pathway in Chinese Developmental Dyslexia
Developmental dyslexia is a common and serious specific learning disability affecting up to one in eight children in Hong Kong, with profound consequences for academic success and personal well-being.
- Trial name
- NCT07707700
- Testing
- Action video game intervention group, Active Control (Non-Action Video Game) Group
- Where
- Hong Kong
- Volunteers
- 76 people
- Sponsor
- The Hong Kong Polytechnic University
Post Induction Hypotension
Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients
The purpose of this study is to develop a high-performance machine learning model combining dynamic baroreflex sensitivity (BRS) metrics and multi-dimensional static clinical features to predict the risk of post-induction…
- Trial name
- NCT07618416
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Peking Union Medical College Hospital
Pediatric Advanced Life Support (PALS)
Comparing the Effectiveness of Large Language Model-Based and Video-Based Refresher Education on Knowledge Retention After Simulation-Based Pediatric Cardiopulmonary Resuscitation Training: A Six-Month Follow-Up Study
This study aims to compare the effectiveness of large language model (LLM)-based refresher education and video-based refresher education for maintaining knowledge and performance after simulation-based Pediatric Advanced Life…
- Trial name
- NCT07783932
- Testing
- LLM-Based Refresher Education, Video-Based Refresher Education
- Where
- South Korea
- Volunteers
- 66 people, healthy volunteers welcome
- Sponsor
- Samsung Medical Center
ICL, Vault
Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation
To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.
- Conditions
- ICL, Vault, Deep Learning, AI (Artificial Intelligence)
- Trial name
- NCT07146737
- Testing
- Corneal tomography generation model after ICL surgery
- Where
- China
- Volunteers
- 818 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
High-Risk Stroke Population
Smart Education for MACE Prevention and Early Detection
With its high incidence, recurrence, disability, and mortality, stroke has become a significant health challenge in society today.
- Trial name
- SEED (NCT06816238)
- Testing
- Interactive education, Traditional health education
- Volunteers
- 87,376 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Anxiety Disorders, Panic Disorder
Efficacy of Expectancy Focused Exposure Therapy for Anxiety Disorders
This clinical trial evaluates whether an optimized exposure-based treatment improves long-term outcomes for adults with anxiety disorders.
- Conditions
- Anxiety Disorders, Panic Disorder, Social Anxiety Disorder (SAD), Generalised Anxiety Disorder
- Trial name
- EFE-AD (NCT07753330)
- Testing
- Expectancy Focused Exposure, Anxiety Focused Exposure
- Where
- Chile
- Volunteers
- 203 people
- Sponsor
- University of Chile
Postmastectomy Lymphedema Syndrome, Breast Cancer Surgery Pain
Deep Learning for Musculoskeletal Complications in Breast Cancer
Survival after breast cancer has increased due to early diagnosis and advances in treatment methods. Musculoskeletal problems related to cancer and its treatment constitute a significant part of the daily practice of physiatrists…
- Conditions
- Postmastectomy Lymphedema Syndrome, Breast Cancer Surgery Pain, Osteoporosis Secondary, Shoulder Adhesive Capsulitis
- Trial name
- NCT07236658
- Testing
- physical examination
- Where
- Turkey (Türkiye)
- Volunteers
- 133 people
- Sponsor
- Ankara Etlik City Hospital
Uterine Cervical Neoplasms
AI Model for Cervical Cancer Detection From Colposcopy Images
Cervical cancer is a significant health issue, particularly in low-income countries, where late diagnosis and limited access to screenings contribute to high mortality rates.
- Trial name
- NCT06644248
- Testing
- Colposcopy
- Where
- Bangladesh
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Bangladesh University of Engineering and Technology
Acute Myocardial Infarction
Risk Prediction Model of MACE in Patients With AMI Based on Multi-modal Machine Learning
A prospective, multicenter, observational study is adopted, with Jiangsu Provincial People's Hospital as the leading unit, and the other 13 Hospitals as cooperative units.
- Trial name
- NCT06767852
- Where
- China
- Volunteers
- 655 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
Heart Failure, Cardiomyopathies
Multimodal Physiologic State Intelligence Study
The OMNIPHYS study will investigate whether multimodal ultrasound and other routinely collected clinical and physiologic data can be combined with artificial intelligence to characterize changes in a person's physiologic state…
- Conditions
- Heart Failure, Cardiomyopathies, Pulmonary Hypertension, Myocarditis; Acute or Subacute
- Trial name
- OMNIPHYS (NCT07814118)
- Testing
- OMNIPHYS Multimodal Ultrasound Imaging System
- Where
- United States
- Volunteers
- 25,000 people, healthy volunteers welcome
- Sponsor
- Truway Health, Inc.