Clinical trials: Learning Outcome, open to volunteers
Cost Analysis, Length of ICU Stay
An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.
The study aims to overview patients registered to Bezmialem Vakıf University Hospital Intensive Care Unit after successive cardiac arrest resuscitation from October 2010 to September 2025.
- Conditions
- Cost Analysis, Length of ICU Stay, Neurological Outcome
- Trial name
- NCT07210866
- Testing
- no physical or medical interventions
- Volunteers
- 5,000 people
- Sponsor
- Bezmialem Vakif University
Clean Intermittent Catheterization
Effect of Mobile Application- and AI Supported Video-Based Patient Education on Patient Outcomes in Teaching Clean Intermittent Catheterization
The study aimed to determine the effects of a mobile application and an artificial intelligence-supported educational video, developed for patients who will perform clean intermittent catheterization (CIC), on patients'…
- Trial name
- NCT07489261
- Testing
- Mobile application, Artifial intellgience
- Where
- Turkey (Türkiye)
- Volunteers
- 99 people
- Sponsor
- Mersin University
BRCA1 Mutation, POLD1 Gene Mutation
An Intervention to Increase Genetic Testing in Families Who May Share a Gene Mutation Related to Cancer Risk and An Intervention to Help Patients and Their Primary Care Providers Stay Up-to-date About Uncertain Genetic Test Results
The purpose of this study is to examine the impact of new cancer genetic counseling models that aim to increase patient engagement with the genetics team.
- Conditions
- BRCA1 Mutation, POLD1 Gene Mutation, CDKN2A Mutation, BRCA2 Mutation
- Trial name
- NCT05420064
- Testing
- Intervention Arm At-risk Relative/ARR Contacts, MyGene Portal, Standard of Care
- Where
- 8 sites in United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Memorial Sloan Kettering Cancer Center
Gastric Cancer, Image
AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients.
- Conditions
- Gastric Cancer, Image, Pathology
- Trial name
- NCT06035250
- Testing
- Neoadjuvant Chemotherapy
- Where
- 22 sites in China, Italy
- Volunteers
- 200 people
- Sponsor
- Chinese Academy of Sciences
Diabetes Mellitus, Type 2
Effect of Nutrition Education Groups in the Treatment of Patients with Type 2 Diabetes
Every year there is an increase in people with diabetes all over the world. Because it is a disease associated with several comorbidities and is increasing, there is a need for more effective treatments.
- Trial name
- NCT05598203
- Testing
- Operative group of nutrition education
- Where
- 2 sites in Brazil
- Volunteers
- 252 people
- Sponsor
- Hospital de Clinicas de Porto Alegre
Congenital Anomalies, Development Delay
Result Of Karyotyping in Pediatric Patients With Congenital Anomalies and Developmental Delay
The goal of this observational cross-sectional study is to study the results of karyotyping analysis for children presented with congenital anomalies and developmental delay aged 1 month to 12 years, the need for further genetic…
- Trial name
- NCT07167017
- Volunteers
- 75 people
- Sponsor
- Assiut University
Ovary Cancer
Mesenteric Infiltration in Ovarian Cancer
To evaluate if CT features at diagnosis in patients with HGSOC can be used to build an Artificial Intelligence model capable of discerning the pathological involvement of the mesentery, assessing the potential impediments for an…
- Trial name
- MIO (NCT06331130)
- Testing
- Computed Tomography
- Where
- Italy
- Volunteers
- 510 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Prediabetes, Health Communication
Study EHR Risk Stratification Tools
This study evaluates whether adding machine learning-based risk information to electronic health record (EHR) lab result messages helps older adults better understand their risk of developing diabetes and influences their…
- Conditions
- Prediabetes, Health Communication, Patient Comprehension
- Trial name
- NCT06995378
- Testing
- Hemoglobin A1c Lab Result Communication Tool
- Where
- United States
- Volunteers
- 1,200 people
- Sponsor
- University of California, Los Angeles
Stroke Outcome Prediction Supported by Deep Learning Algorithm
STOP-stroke: STroke Outcome Prediction in the Acute Treatment Setting
The STOP-stroke project aims at improving prediction of outcome early after stroke. In order to achieve this, we need to understand reasons (important variables) for prediction in a real clinical prognostication process.
- Trial name
- STOP-STroke (NCT06534645)
- Where
- Switzerland
- Volunteers
- 250 people
- Sponsor
- University of Zurich
Infertility, Stress
Online and Mobile Support Program and Fertility
Our study is designed as a randomized controlled experimental study with a pre-test and post-test control group to determine the effects of online fertility preparation classes and fertility mobile application support, based on…
- Trial name
- NCT06824272
- Testing
- MOBIL AND ONLINE EDUCATION
- Volunteers
- 128 people, healthy volunteers welcome
- Sponsor
- Dokuz Eylul University
Duchenne Muscular Dystrophy (DMD), Cardiomyopathy
Modeling Mortality in Duchenne Muscular Dystrophy Cardiomyopathy: Identification of Surrogate Outcome Measures for DMD Drug Trials
Dystrophin associated heart dysfunction is a leading cause of death in patients with Duchenne and Becker Muscular dystrophy (DMD/BMD) and Duchenne and Becker muscular dystrophy carriers (MDC); however, the evolution of heart…
- Conditions
- Duchenne Muscular Dystrophy (DMD), Cardiomyopathy, Becker Muscular Dystrophy, Carrier of Duchenne Muscular Dystrophy
- Trial name
- NCT07674758
- Where
- 9 sites in United States
- Volunteers
- 1,000 people
- Sponsor
- Vanderbilt University Medical Center
Incontinence, Neurogenic Bladder Dysfunction
RElax & feeL at EASE (RELEASE)
This multicenter, parallel-group, randomized controlled trial (RELEASE) aims to evaluate the efficacy of two educational approaches on acceptance and adherence to intermittent catheterization (IC) among adult male patients.
- Conditions
- Incontinence, Neurogenic Bladder Dysfunction, Urinary Retention
- Trial name
- RELEASE (NCT07084376)
- Testing
- Enhanced Educational Program for Intermittent Catheterization, Standard Education Group
- Volunteers
- 64 people
- Sponsor
- Stefania Musco
Lung Cancer (NSCLC)
Postoperative Pulmonary Function Assessment Based on Deep Learning Study
Improvements in low-dose CT screening have led to an increase in early-stage NSCLC diagnoses, with surgical resection-usually lobectomy or segmentectomy-remaining the primary curative option.
- Trial name
- NCT07256457
- Testing
- Segmentectomy, Lobectomy, Bronchoscopic Ablation
- Where
- Hong Kong
- Volunteers
- 192 people
- Sponsor
- Chinese University of Hong Kong
Database, Prostate Cancer
National Robotics-Assisted Radical Prostatectomy Database
In Australia, nearly 70 men are diagnosed with Prostate cancer every day. Prostate removal (Radical Prostatectomy) is the proven treatment option to control cancer spread.
- Conditions
- Database, Prostate Cancer, Robotic-assisted Radical Prostatectomy, Surgical Outcomes
- Trial name
- RASOR (NCT06279260)
- Where
- 8 sites in Australia
- Volunteers
- 10,000 people
- Sponsor
- Melbourne Health
Performance Enhancement, Athlete
Augmented Feedback Effects on Shoulder Rotator Performance
The existing literature demonstrates that motor learning strategies are effective in enhancing sports performance. One of these strategies, augmented feedback, is widely used in athletic training to help athletes achieve their…
- Conditions
- Performance Enhancement, Athlete, Shoulder
- Trial name
- NCT07510893
- Testing
- Augmented Feedback
- Where
- Turkey (Türkiye)
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Elif Turgut
Diabetes Mellitus
Transforming Diabetes Care: Pharmacist-Led Education and Its Impact on Patient Knowledge, Self-Management, and Health Outcomes
This interventional study is to evaluate the impact of pharmacist-led education on diabetic patients' knowledge, self-management, and overall health outcomes.
- Trial name
- TRIPLE-CARE (NCT06807333)
- Testing
- Pharmacist led Education
- Where
- Pakistan
- Volunteers
- 385 people
- Sponsor
- Shifa International Hospital
Osteoporosis, Accidental Falls
The Effect of Digital Education for Osteoporosis Patients on Fracture Risk and Related Health Outcomes.
A digital education for osteoporosis patients (DEOP) has been developed and tested on patients in Region Vastra Gotaland, Sweden.
- Conditions
- Osteoporosis, Accidental Falls, Fractures, Bone, Patient Reported Outcome Measures
- Trial name
- NCT06603545
- Testing
- Digital education for osteoporosis patients
- Volunteers
- 2,640 people
- Sponsor
- Sahlgrenska University Hospital
Ovarian Cancer Stage III, Ovarian Cancer Stage IV
Predicting Outcome of Cytoreduction in Advanced Ovarian Cancer
PREDAtOOR is a pilot study and this study aims at improving the selection of the best treatment strategy for patients with advanced ovarian cancer by using Camera Vision (CV) to predict outcomes of cyto reduction at the time of…
- Trial name
- PREDAtOOR (NCT06017557)
- Testing
- Artificial Intelligence
- Where
- Italy
- Volunteers
- 151 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
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
IVF Outcomes, Prediction Models
Machine-Learning Prediction of Pregnancy Outcomes After Assisted Reproductive Treatments
The goal of this observational study is to develop and validate a machine-learning model to predict pregnancy outcomes in women with a positive pregnancy test following assisted reproductive treatment (ART), with the primary…
- Conditions
- IVF Outcomes, Prediction Models, Infertility Assisted Reproductive Technology, Live Birth
- Trial name
- NCT07855783
- Testing
- Machine-Learning Model for Prediction of Pregnancy Outcomes
- Where
- 2 sites in Croatia
- Volunteers
- 2,200 people
- Sponsor
- BetaPlus Center for Reproductive Medicine