Clinical trials: Weight-Estimation, open to volunteers
Macrosomia, Fetal, Large for Gestational Age
Fetal Clavicular Measurement to Predict Fetal Macrosomia
Macrosomia is associated with increased risks for both the mother and the baby, including complications during delivery, injuries, and even death. The accurate diagnosis of macrosomia is often difficult before birth.
- Conditions
- Macrosomia, Fetal, Large for Gestational Age, Shoulder Dystocia
- Trial name
- NCT06283277
- Testing
- Obstetric Ultrasound
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- Assiut University
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Obesity
Estimating the Impact of Obesity Medications on Clinical and Economic Outcomes
The goal of this observational study is to identify the impact of incretin-based obesity medications (e.g., GLP-1 and GLP-1/GIP) on health and economic outcomes among adults who get their health insurance through their employers.
- Trial name
- NCT07640139
- Testing
- Incretin-based therapies (GLP-1 and GLP-1/GIP)
- Where
- United States
- Volunteers
- 125,000 people
- Sponsor
- Indiana University
Fetal Weight, Pregnancy
Prospective Evaluation of an AI Diagnostic Ultrasound Tool for Fetal Weight Estimation
Purpose: The primary objective of this study is to assess the diagnostic accuracy of an AI-enabled ultrasound tool for estimating fetal weight Participants: 1,000 pregnant individuals Procedures (methods): This prospective…
- Conditions
- Fetal Weight, Pregnancy, Machine Learning, Pregnancy - Prenatal Testing
- Trial name
- krittenhouse (NCT07661433)
- Testing
- AI ultrasound diagnostic tool for fetal weight estimation
- Where
- 6 sites in United States, Canada and 2 more
- Volunteers
- 1,000 people
- Sponsor
- University of North Carolina, Chapel Hill
Macrosomia, Fetal Weight
Ultrasound Estimation of Fetal Macrosomia at Term: Diagnostic Accuracy Within 24 Hours of Delivery
Obstetric ultrasonography is now an essential tool for monitoring pregnancy. In France, three ultrasounds are recommended during a singleton pregnancy (at 12, 22, and 32 weeks of amenorrhea) to improve maternal and neonatal care.
- Trial name
- ECHO-MACRO (NCT07433751)
- Testing
- Ultrasound estimation of fetal macrosomia at 12 weeks of amenorrhea, Ultrasound estimation of fetal macrosomia at 22 weeks of amenorrhea, Ultrasound estimation of fetal macrosomia at 32 weeks of amenorrhea
- Where
- France
- Volunteers
- 285 people, healthy volunteers welcome
- Sponsor
- Centre Hospitalier Henri Duffaut - Avignon
Fetal Growth, Obstetric Ultrasonography
Clinicians' Trust in AI-Based Fetal Growth Estimates
This study examines how clinicians trust and use artificial intelligence (AI) when estimating fetal weight during pregnancy. Accurate assessment of fetal growth is important for identifying growth problems that may affect…
- Conditions
- Fetal Growth, Obstetric Ultrasonography, Pregnancy, Clinical Decision-making
- Trial name
- NCT07401368
- Testing
- Intervention - AI Performance Information
- Where
- Denmark
- Volunteers
- 130 people, healthy volunteers welcome
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Fetal Macrosomia, Intrauterine Growth Disorders (IUGR and Macrosomia)
Estimation of Fetal Weight by Measuring Abdominal Circumference, Abdominal Subcutaneous Soft Tissue Thickness, Femur Length and Mid-thigh Soft Tissue Thickness
Traditional methods for estimating fetal weight (EFW) often miss the mark because they focus on bone and circumference while ignoring fetal fat. This study proposes a more inclusive formula to fix that.
- Conditions
- Fetal Macrosomia, Intrauterine Growth Disorders (IUGR and Macrosomia), Intrauterine Growth Restriction (IUGR)
- Trial name
- NCT07575152
- Testing
- 3rd trimester ultrasound examination within 48-72 hours of delivery
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Assiut University
Heart Failure, Coronary Heart Disease (CHD)
Reliability of Multiple-Repetition-Maximum Tests in Patients With Cardiovascular Disease or Risk Factors
Exercise training is a cornerstone in the prevention and rehabilitation of cardiovascular disease. While research has primarily focused on endurance training, resistance training becomes more and more important.
- Conditions
- Heart Failure, Coronary Heart Disease (CHD), Atrial Fibrillation (AF), Diabetes Mellitus
- Trial name
- NCT06796582
- Where
- Germany
- Volunteers
- 50 people
- Sponsor
- Technical University of Munich
Fetal Growth Abnormalities, Fetal Weight
Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels
Objective: To evaluate the impact of real-time AI feedback on fetal biometry accuracy and investigate the Expertise Reversal Effect-whether AI benefits diminish as user experience increases.
- Trial name
- NCT07476638
- Testing
- AI interventional group
- Where
- 3 sites in Denmark
- Volunteers
- 75 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation
Chronic Kidney Diseases, Type 2 Diabetes Mellitus
Prevalence, Incidence and Risk Signature of Chronic Kidney Disease in Sub-Saharan Africa
Chronic kidney disease (CKD) is associated with increased cardiovascular morbidity and mortality. The prevalence of CKD is increasing worldwide and is assumed to also dramatically increase in Sub-Saharan Africa (SSA).
- Conditions
- Chronic Kidney Diseases, Type 2 Diabetes Mellitus, Arterial Hypertension, Obesity
- Trial name
- RenalTWO (NCT05881447)
- Where
- Tanzania
- Volunteers
- 1,200 people
- Sponsor
- Swiss Tropical & Public Health Institute
No Specific Conditions, Weight, Body
Machine Learning and 3D Image-based Modeling for Body Weight Estimation.
The goal of this randomized controlled clinical trial is to [learn about, test, compare etc.] in critically ill or injured cohorts of patients presenting to the Emergency Department.
- Conditions
- No Specific Conditions, Weight, Body, Drug Dose, Weight-Estimation
- Trial name
- NCT06281938
- Testing
- Weight estimation using 3D camera, Standard care weight estimation
- Volunteers
- 320 people
- Sponsor
- Florida Atlantic University
Nutrition Assessment
Impact of Estimated Weight and Height on Nutritional Assessment in Elderly
Recording the exact weight and height should represent a standard practice for all inpatients, as they significantly impact on patients' care, drug dosing and nutritional assessment.
- Trial name
- NCT07514572
- Testing
- Anthropometric and nutritional assessment
- Volunteers
- 400 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Obesity and Overweight
Sarcopenic Obesity: Estimation of Prevalence and Identification of Clinical and Biological Determinants in a Cohort of Adult Obese Patients and Longitudinal Follow-up
Context: Obesity, defined as excessive body fat, can lead to disability and loss of autonomy. If there is concomitant quantitative and qualitative muscle loss, sarcopenic obesity (SO) is suspected in this context.
- Trial name
- OBESAR-2 (NCT06880432)
- Testing
- Collection of fluid samples
- Where
- France
- Volunteers
- 1,200 people
- Sponsor
- University Hospital, Clermont-Ferrand
Accuracy of Sonographic Vs MRI Fetal Weight Estimation
Comparison of Sonographic and MRI Weight Estimation in Fetuses with Suspected Macrosomia
The goal of this clinical trial is to compare the accuracy of sonographic vs. magnetic resonance fetal weight estimation in suspected fetal macrosomia in term pregnancy.
- Trial name
- NCT06898892
- Testing
- Fetal MRI
- Where
- Israel
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Western Galilee Hospital-Nahariya