Clinical trials: Learning Model, open to volunteers
Patient Readmission
Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data
Hospital readmissions are an important measure of healthcare quality and safety. These events create a substantial burden for patients, families, and health systems because they may increase costs, extend recovery time, and lead…
- Trial name
- NCT07349901
- Where
- Brazil
- Volunteers
- 300 people
- Sponsor
- Getúlio Vargas University Hospital
Gastric Cancer, Chemotherapy Effect
Predicting Gastric Cancer Response to Chemo With Multimodal AI Model
This study aims to develop a multimodal model combining radiomic and pathomic features to predict pathological complete response (pCR) in advanced gastric cancer patients undergoing neoadjuvant chemotherapy (NAC).
- Trial name
- NCT06451393
- Testing
- Neoadjuvant chemotherapy with radical tumor resection surgery
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Lung Cancer
Formatting the Risk Prediction Models for Never-Smoking Lung Cancer
Lung Cancer is the leading cause of cancer-related deaths in Taiwan and worldwide and the incidence is also increasing. The payment for lung cancer which occupies the largest part of National Health Insurance expense is over 15…
- Trial name
- FORMOSA (NCT05572944)
- Testing
- LDCT lung cancer screen, immediately, LDCT lung cancer screen, later
- Where
- 7 sites in Taiwan
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Chung Shan Medical University
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
Simulation Based Medical Education, Tracheal Intubation
Low-Cost Model Versus Airway Part-Task Trainer for Flexible Bronchoscope-Guided Tracheal Intubation Training
Background: Awake flexible bronchoscope-guided tracheal intubation (FBTI) is crucial in managing challenging airway situations. As the gold standard for difficult airway management, FBTI is essential for anesthesiologists to…
- Conditions
- Simulation Based Medical Education, Tracheal Intubation, Medical Residents
- Trial name
- RAN (NCT06959953)
- Testing
- Low-cost model, Airway Part-task Trainer
- Volunteers
- 53 people, healthy volunteers welcome
- Sponsor
- Lebanese American University
Hypertension
IMB-Guided Health Education Intervention for Medication Adherence and Blood Pressure Control in Non-adherent Hypertensive Patients
This study will evaluate the effectiveness of an Information-Motivation-Behavioral Skills (IMB) Model-guided health literacy intervention among adults with hypertension who are non-adherent to prescribed antihypertensive…
- Trial name
- NCT07894068
- Testing
- IMB Model-Guided Health Education Intervention, Usual Care
- Where
- 8 sites in Ethiopia
- Volunteers
- 230 people
- Sponsor
- Bahir Dar University
Gastric Cancer (Diagnosis), Postoperative Complications
DeepComp for Prediction of Gastric Cancer Postoperative Complications (DeepComp-Prospective)
Gastric cancer is a leading cause of cancer-related mortality, and radical surgery remains the primary treatment. However, postoperative complications are common and can significantly impact patient recovery and quality of life.
- Trial name
- NCT07401173
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Qun Zhao
Pelvic Floor Disorder, Loneliness
Postpartum Education Via Artificial Intelligence for Recovery and Loneliness: A Randomized Controlled Trial
The goal of this clinical trial is to learn whether a postpartum chatbot powered by generative artificial intelligence (genAI) can help new mothers get better pelvic floor health information and feel less lonely after childbirth.
- Conditions
- Pelvic Floor Disorder, Loneliness, Postpartum, Mental Health
- Trial name
- PEARL (NCT07223736)
- Testing
- Generative artificial intelligence (genAI) postpartum chatbot, Standard of Care (SOC)
- Where
- United States
- Volunteers
- 130 people
- Sponsor
- University of California, San Diego
Pulmonary Nodules
Multicenter Prospective Validation of AI Models for Malignancy Risk Prediction in Pulmonary Nodules
This multicenter prospective diagnostic accuracy study will compare the performance of three artificial intelligence (AI) models (MVCS, LungDoc, and a United Imaging AI model) for predicting the malignancy risk of pulmonary…
- Trial name
- NCT07727122
- Where
- 5 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Medication Adherence, Quality of Life
ECHO-COPD: Impact of a Pharmacist-Led Health Belief Model-Based Educational Intervention Among Chronic Obstructive Pulmonary Disease Patients
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease associated with substantial morbidity and mortality, impaired quality of life, and healthcare costs.
- Conditions
- Medication Adherence, Quality of Life, Cost, Health Belief Model
- Trial name
- ECHO-COPD (NCT07815353)
- Testing
- Pharmacist-Led HBM-Based Educational Intervention
- Where
- Saudi Arabia
- Volunteers
- 140 people
- Sponsor
- Rabia Hussain
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
Hysterectomy, Women
Evaluation of the Effects of a Hysterectomy Adherence Education Program Based on the Roy Adaptation Model on Hysterectomy Adherence, Self-Esteem, and Quality of Life in Women Undergoing Hysterectomy
Brief Summary This randomized controlled trial aims to evaluate the effectiveness of a Roy Adaptation Model-based hysterectomy adaptation education program on adaptation to hysterectomy, self-esteem, and quality of life in women…
- Trial name
- HYSTADAPT (NCT07721727)
- Testing
- Hysterectomy Adaptation Education
- Volunteers
- 108 people, healthy volunteers welcome
- Sponsor
- Ufuk University
Brain Tumors
SIMPLIFication of Care Pathways for Patients With Rare Brain Tumors Through Artificial Intelligence
This study focuses on rare brain tumors, which are heterogeneous entities with different morphological, biological, and clinical characteristics.
- Trial name
- SIMPLIF-AI (NCT06878469)
- Testing
- RehaCom
- Where
- 2 sites in Italy
- Volunteers
- 200 people
- Sponsor
- Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
Refractive Errors, Cycloplegic Refraction
ML Models Predicting Cycloplegic Refractive Error Based on Non-Cycloplegic Parameters in Myopic Adults
This study presents a machine learning model that predicts cycloplegic refraction in adults with myopia using standard non-cycloplegic eye measurements, aiming to reduce the need for cycloplegic drops while still identifying…
- Conditions
- Refractive Errors, Cycloplegic Refraction, Accommodation
- Trial name
- NCT07690813
- Testing
- Machine learning model for predicting cycloplegic refraction
- Where
- China
- Volunteers
- 2,500 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
Breast Cancer, Health Behavior
Effect of Planned Education on Health Beliefs and Fatalism in Women at High Risk of Breast Cancer
Purpose: This project aims to examine the effects of planned education on health beliefs and fatalism in women at high risk of breast cancer.
- Conditions
- Breast Cancer, Health Behavior, Breast Self-Examination
- Trial name
- NCT06690320
- Testing
- IMPLEMENTATION OF A PLANNED EDUCATION PROGRAM ON HEALTH BELIEF MODEL AND FATUALIST TENDENCIES IN WOMEN AT HIGH RISK OF BREAST CANCER
- Where
- Turkey (Türkiye)
- Volunteers
- 72 people
- Sponsor
- Ege University
Alpha-1-antitrypsin Deficiency, Emphysema
Development of a Prediction Score for the Occurrence of Death or Lung Transplantation in Patients With Emphysema Secondary to Alpha-1-anti-tripsin Deficiency
Emphysema linked to alpha-1-antitrypsin deficiency (DAAT): towards a better prediction of risks Emphysema caused by alpha-1-antitrypsin deficiency (DAAT) is a rare genetic disorder that can lead to serious complications, such as…
- Conditions
- Alpha-1-antitrypsin Deficiency, Emphysema, Artificial Intelligence (AI), Predictive Learning Models
- Trial name
- FLARE (NCT07715617)
- Where
- 4 sites in France
- Volunteers
- 230 people
- Sponsor
- University Hospital, Bordeaux
Chronic Disease, Risk Assessment
Adult Disease Risk Prediction Using Wearables, Hearing, and Health Data
This prospective cohort study aims to develop and validate a personalized disease risk prediction model for adults by integrating multiple sources of health data.
- Trial name
- NCT07541547
- Where
- Taiwan
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- National Health Research Institutes, Taiwan
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
Educational Intervention, Motivation Model
ARCS-Based Training to Improve Nursing Students' Communication, Motivation, and Self-Efficacy
This study explores the impact of an ARCS-based training program on nursing students' communication skills, learning motivation, and self-efficacy.
- Trial name
- ARCS-NCOMSE (NCT07004205)
- Testing
- The ARCS Motivation Model Education
- Where
- Turkey (Türkiye)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Cumhuriyet University
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