Search Results - therapeutics+%3e+radiology

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INSPIROMARK (Case No. 2025-293)

Summary: UCLA researchers have developed InspiroMark, a standardized, implantable imaging marker designed to enhance the efficiency, reliability and ease of grafted vessel localization following coronary artery bypass graft (CABG). Background: Coronary Artery Bypass Graft (CABG) surgery is a common procedure used to restore blood flow to the heart....

Published: 8/20/2025 | Inventor(s): Sneha Shaha, Michael Malig, Sukhneet Dhillon

Keywords(s):

Category(s): Diagnostic Markers, Medical Devices, Medical Devices > Cardiac, Medical Devices > Medical Imaging > CT, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging > X-Ray, Medical Devices > Medical Imaging > Fluorescence, Medical Devices > Monitoring And Recording Systems, Medical Devices > Surgical Tools, Therapeutics > Cardiovascular, Therapeutics > Radiology, Therapeutics > Transplant

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 | 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

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: 7/23/2025 | 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, 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

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 | 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

Artificial Neural Network Train-Time Poison Defense via Energy-Based Model Dynamics Sampling (Case No. 2024-199)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel preprocessing algorithm to purify imperceptibly poisoned training datasets that may lead to misclassification and maintain image quality. Background: Large datasets are important for the effectiveness of machine learning models, serving as the...

Published: 5/6/2025 | Inventor(s): Gregory Pottie, Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang

Keywords(s): AI algorithms, Algorithm, Artificial Intelligence, artificial intelligence augmentation, Automation, Autonomous driving, Big Data, Computer Aided Learning, Data Corruption, Digital Health, Machine Learning, Machine Learning Autonomous Car Gradient Descent

Category(s): Software & Algorithms, Platforms > Diagnostic Platform Technologies, Therapeutics > Radiology, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation, Mechanical > Sensors

2020-363 ROTATIONAL INTENSITY MODULATION FOR ULTRA HIGH DOSE RATE (FLASH) X-RAY DOSE DELIVERY

Summary: UCLA researchers in the Department of Radiation Oncology have developed a collimation device that can achieve ultrafast delivery and complex dose modulation for x-ray radiotherapy. Background: Radiotherapy aims to treat and control the growth of tumors via exposure to high doses of ionizing radiation. While it is generally effective, it...

Published: 7/17/2025 | Inventor(s): Ke Sheng, Qihui Lyu

Keywords(s): Hospital Systems And Devices, Medical Device, Oncology, Radiation Therapy, X-Ray

Category(s): Therapeutics > Radiology, Therapeutics > Oncology, Therapeutics > Radiology > Radiomitigation

2017-452 Automated Beam Orientation and Scanning Spot Spacing Optimization for Robust Heavy Ion Radiotherapy

Automated Beam Orientation and Scanning Spot Spacing Optimization for Robust Heavy Ion Radiotherapy TherapySUMMARYUCLA researchers in the Department of Radiation Oncology have developed a new method to automate and optimize heavy ion beam radiotherapeutic techniques for the treatment of cancer.BACKGROUNDHeavy ion radiation therapy is a growing treatment...

Published: 2/14/2025 | Inventor(s): Ke Sheng

Keywords(s): Oncology, Radiology, Therapeutics & Vaccines

Category(s): Therapeutics, Therapeutics > Radiology, Therapeutics > Oncology