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Search Results - acute+myocardial+infarction
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Method and Apparatus for Segmentation of Dense MR Images Using Deep Learning with Domain Adaptation (Case No. 2025-208)
Summary: UCLA researchers from the Department of Radiological Sciences have developed a deep learning-based segmentation framework that enables fully automated and reproducible analysis of left ventricular (LV) function in Displacement Encoding with Stimulated Echoes (DENSE) MRI. Background: Myocardial strain is a key metric for analyzing how much...
Published: 8/18/2025
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Inventor(s):
Xiaodong Zhong
,
Siyue Li
,
Kim-Lien Nguyen
Keywords(s):
acute myocardial infarction
,
adjustable mount
,
aneurysm drainage
,
automatic leveling
,
bedside decisions
,
blood pressure monitoring
,
cardiac cycle
,
Cardiac Electrophysiology
,
Cardiac failure
,
Cardiac Magnetic Resonance Imaging
,
Cardiac MRI
,
Cardiovascular
,
Cardiovascular Disease
,
Cardiovascular Disease Nephropathy
,
cardiovascular diseases
,
cardiovascular monitoring
,
cerebrospinal fluid (CSF) drainage
,
Cine MRI
,
clamp
,
critical-care
,
CSF drainage
,
Deep learning MRI
,
DENSE MRI
,
laser alignment
,
Left ventricular segmentation
,
lumbar drains
,
Motion analysis
,
MRI
,
multiparametric MRI (mpMRI)
,
Myocardial strain
,
non-invasive cardiac monitoring
,
operator variability
,
passive reflective target
,
phlebostatic axis measurement
,
Pseudo-labeling
,
radial MRI
,
Segment Anything Model (SAM)
,
self-leveling system
,
transducer alignment
,
Unsupervised domain adaptation (UDA)
Category(s):
Medical Devices > Cardiac
,
Electrical > Imaging
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Therapeutics > Cardiovascular
,
Therapeutics > Radiology
,
Medical Devices > Medical Imaging > MRI
,
Medical Devices > Medical Imaging
Method for Non-invasive Assessment of Pressure and Cardiac Efficiency (Case No. 2024-258)
Summary: Researchers in the Department of Medicine and Radiological Sciences at UCLA have developed a novel computational model for estimating ventricular mechanical efficiency using routine clinical exam practices. Background: Congenital heart disease (CHD) involves complex heart defects that make it harder for the heart to pump blood effectively....
Published: 8/7/2025
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Inventor(s):
Kim-Lien Nguyen
,
Sanjib Gurung
,
John Finn
Keywords(s):
acute myocardial infarction
,
Blood Pressure
,
Catheterization
,
heart disease mitigation
,
heart failure
,
heart support
,
hemodynamic monitoring
,
ventricular system
Category(s):
Therapeutics > Cardiovascular
,
Therapeutics > Radiology
,
Medical Devices > Cardiac
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics > Inflammation And Inflammatory Diseases
,
Medical Devices > Medical Imaging
,
Software & Algorithms > Bioinformatics
Synchronized Biventricular Heart Pacing Using Wirelessly Powered Leadless Pacemakers (Cases 2019-237 & 2020-401)
Summary: UCLA researchers in the department of electrical and computer engineering have developed a device for synchronized biventricular pacing. Background: Many patients with impaired cardiac function suffer from ventricular desynchrony, a condition that involves a lack of synchronization between the contractions of the left and right ventricles...
Published: 7/17/2025
|
Inventor(s):
Aydin Babakhani
,
Hongming Lyu
,
Medhi Razavi
,
Mathews John
,
Allison Post
Keywords(s):
acute myocardial infarction
,
cardiac cycle
,
Cardiac failure
,
cardiometabolic disease
,
cardiopulmonary illness
,
Cardiovascular
,
Cardiovascular Disease
,
cardiovascular diseases
,
cardiovascular modeling
,
cardiovascular monitoring
,
cardiovascular prediction
,
cardiovascular therapeutic solution
,
medical device cardiac monitoring
,
non-invasive cardiac monitoring
,
tachycardia
Category(s):
Medical Devices
,
Medical Devices > Cardiac
,
Medical Devices > Monitoring And Recording Systems
Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification (Case No. 2024-179)
Summary: UCLA researchers from the Departments of Electrical and Computer Engineering and Bioengineering have developed a novel assay for point-of-care testing for
acute myocardial infarction
. Background: Cardiovascular diseases are responsible for a substantial number of deaths and economic burdens. Acute myocardial infarction (AMI) is an event...
Published: 2/14/2025
|
Inventor(s):
Aydogan Ozcan
,
Gyeo-Re Han
,
Artem Goncharov
,
Hyouarm Joung
,
Dino Di Carlo
Keywords(s):
acute myocardial infarction
,
Assay
,
Bioassay
,
biological assays
,
cardiometabolic disease
,
cardiopulmonary illness
,
Cardiovascular
,
Cardiovascular Disease
,
Cardiovascular Disease Nephropathy
,
cardiovascular diseases
,
cardiovascular modeling
,
cardiovascular prediction
,
cardiovascular therapeutic solution
,
deep-learning analysis algorithms
,
Flow Device
,
heart disease mitigation
,
high-sensitivity cardiac troponin I
,
Immunoassay
,
Laminar flow
,
nanoparticle amplification chemistry
,
point-of-care testing
,
Targets And Assays
,
vertical flow assay
Category(s):
Medical Devices
,
Medical Devices > Monitoring And Recording Systems
,
Platforms
,
Platforms > Diagnostic Platform Technologies
,
Diagnostic Markers
,
Diagnostic Markers > Targets And Assays