Using advanced algorithms to better estimate fetal weight in late pregnancy
Neural Network Approach to Estimate Fetal Weight in the Late Third Trimester of Pregnancy
This study is looking to make it easier for doctors to accurately estimate how much your baby weighs in the last few weeks of pregnancy by using advanced technology, which could help improve your prenatal care and planning for delivery.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-10886147 on NIH RePORTER |
What this research studies
This research aims to improve the accuracy of fetal weight estimation during the late third trimester of pregnancy by utilizing a neural network approach. Currently, fetal weight is estimated using ultrasound measurements, which can be inaccurate. This study will analyze existing ultrasound images and birth data to develop a more reliable method for estimating fetal weight, potentially leading to better prenatal care and labor planning. The research will involve a large dataset from the University of Rochester, focusing on enhancing clinical assessments during pregnancy.
Who could benefit from this research
Good fit: Ideal candidates for this research include pregnant individuals in their late third trimester who are undergoing routine ultrasound examinations.
Not a fit: Patients who are not pregnant or those in the early stages of pregnancy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate fetal weight estimations, improving prenatal care and outcomes for mothers and babies.
How similar studies have performed: While the use of neural networks in medical imaging is gaining traction, this specific approach to fetal weight estimation has not been widely tested, making it a novel endeavor.
Where this research is happening
Rochester, United States
- University of Rochester — Rochester, United States (Active)
Researchers
- Principal investigator: Dreisbach, Caitlin — University of Rochester
- Study coordinator: Dreisbach, Caitlin
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.