A deep learning substitute for Gadolinium contrast detects focused ultrasound-induced blood-brain barrier (BBB) opening
Search text
Alicia B. Dagle
1 result
(0.10 seconds)
This technology is a deep learning algorithm that uses ultrasound imaging data to extract cervix geometry and predict preterm birth (PTB) risk. The Technology: Deep-learning algorithm to accurately predict preterm birth from transvaginal ultrasound images. This technology uses machine learning to automatically detect and label cervical physiological features from TVUS images of patients in the 2nd and 3rd trimesters of pregnancy, records PTB markers and other important cervical and lower uterine features, combines additional patient data from electronic medical records with TVUS sonograms, and applies deep learning models to predict PTB risk.
- 1Algorithm
- 1Cervix
- 1Data set
- 1Deep learning
- 1Machine learning
- Add ...
- 1Algorithms
- 1Artificial neural networks
- 1Biology
- 1Biological processes
- 1Biotechnology
- Add ...
- 10Elisa Konofagou
- 3James Junesik J. Choi
- 2Andrew F. Laine
- 2Arthur Mikhno
- 2Chen Chen
- 1Alicia B. Dagle
- Add ...
- 1Dovina Qu
- Add ...
- 1Maternal Fetal Medicine
- 1Mechanical Engineering
- 1Obstetrics & Gynecology
- 1Obstetrics & Gynecology, Maternal Fetal Medicine (high risk pregnancy)
- 1Radiology
- Add ...
- 1Columbia University Medical Center (CUMC)
- 1Fu Foundation School of Engineering and Applied Science (SEAS)
- 1Intermountain Medical Group
- 1Tufts Medical Center
- Add ...
- Add ...