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Search Results - ai-guided+medical+imaging
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Method and Apparatus for Improving the Signal-To-Noise Ratio in Multi-Dimensional Magnetic Resonance Imaging Data (Case No. 2025-204)
Summary: UCLA researchers have developed a software-based denoising method that makes cardiac MRI images clearer and more reliable, enabling more accurate heart function measurements without requiring longer scan times. Background: Cardiac MRI is a powerful imaging tool for assessing heart health because it can provide detailed pictures of how the...
Published: 11/13/2025
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Inventor(s):
Xiaodong Zhong
,
Shu-Fu Shih
,
Holden Wu
,
Kim-Lien Nguyen
Keywords(s):
2D ultrasound imaging
,
3D tissue imaging
,
3D ultrasound imaging
,
AI-guided medical imaging
,
AI-guided medical intervention
,
bioimaging
,
Biologic Medical Product
,
Biomedical Engineering
,
Cardiac Magnetic Resonance Imaging
,
Image Analysis
,
Imaging
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Carotid Artery Stenosis
,
Magnetic Resonance Imaging Hypoxia (Medical)
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Microangiopathy
,
Magnetic Resonance Imaging Pathology
,
Magnetic Resonance Imaging Spin Polarization
,
Magnetic Resonance Imaging Unmanned Aerial Vehicle
,
Medical artificial intelligence (AI)
,
Medical Device
,
medical device cardiac monitoring
,
Medical Devices and Materials
,
Medical diagnostics
,
Medical Imaging
Category(s):
Medical Devices > Cardiac
,
Medical Devices > Medical Imaging
,
Medical Devices > Medical Imaging > MRI
,
Software & Algorithms > Image Processing
,
Software & Algorithms
Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 11/6/2025
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Inventor(s):
Xiang Chen
,
Youngseung Jeon
,
Christopher Hwang
Keywords(s):
3D tissue imaging
,
AI-guided diagnostics
,
AI-guided medical imaging
,
AI-guided medical intervention
,
arthritis
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
Artificial Neural Network
,
bioimaging
,
Computer-Aided Diagnosis
,
computer-aided radiology
,
Diagnostic Markers & Platforms
,
Diagnostic Test
,
diagnostics
,
generative artificial intelligence
,
Image Analysis
,
Image Resolution
,
Imaging
,
infrared thermal imaging
,
Machine Learning
,
machine learning modeling
,
machine perception
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Medical artificial intelligence (AI)
,
Medical diagnostics
,
Medical Imaging
,
Microscopy And Imaging
,
non-invasive imaging
,
osteoarthritis
,
radial MRI
,
radiologic imaging
,
Radiology
,
Radiology / Radiomitigation
,
radiosurgery
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
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Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics
,
Therapeutics > Musculoskeletal Disease
,
Therapeutics > Radiology