Clinical trials: Deep Learning Model
- Condition Deep Learning Model
- Funder type Industry (pharma, biotech, devices)
- Accepts healthy volunteers yes
Small for Gestational Age Infant, Fetal Growth Restriction
Developing and Testing AI Models for Fetal Biometry and Amniotic Volume Assessment in Fetal Ultrasound Scans.
Routine fetal ultrasound scan during the second trimester of the pregnancy is a low-cost, noninvasive screening modality that has been proven to lower fetal mortality by up to 20%.
- Conditions
- Small for Gestational Age Infant, Fetal Growth Restriction, Oligohydramnios, Polyhydramnios
- Trial name
- NCT05059093
- Testing
- Classification and segmentation deep learning models
- Where
- 6 sites in Morocco
- Volunteers
- 122 people, healthy volunteers welcome
- Sponsor
- Deepecho
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.