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Search Results - computer-aided+diagnosis
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Phenotyping Single Ventricle Physiology Using Electronic Health Records (Case Nos. 2025-322 and 2025-323)
Summary: UCLA researchers have created a cutting-edge, automated phenotyping tool that harnesses electronic health records to enable rapid and precise identification of single ventricle physiology (SVP), especially in neonatal and pediatric populations. Background: Single ventricle physiology (SVP) is a rare heart condition that develops before birth...
Published: 1/6/2026
|
Inventor(s):
Kim-Lien Nguyen
,
William Hsu
,
Hang Xu
Keywords(s):
Algorithm
,
cardiac cycle
,
Cardiovascular
,
Cardiovascular Disease
,
cardiovascular diseases
,
cardiovascular monitoring
,
cardiovascular prediction
,
Computer-Aided Diagnosis
,
heart disease mitigation
,
heart support
,
medical automation technology
,
Medical Device
,
medical device cardiac monitoring
,
Medical diagnostics
,
Medical Guideline
,
non-invasive cardiac monitoring
,
Smart medical device
,
Software
,
Software & Algorithms
,
Software Development Tools
Category(s):
Diagnostic Markers
,
Medical Devices
,
Medical Devices > Cardiac
,
Medical Devices > Monitoring And Recording Systems
Machine Learning to Predict Physiological Age Using Features Extracted From Arterial Blood Pressure (ABP) Waveforms (Case No. 2025-264)
Summary: UCLA researchers in the Department of Anesthesiology have introduced a novel machine learning model that accurately predicts physiological aging by analyzing features extracted from patients’ arterial blood pressure (ABP) waveforms. This approach enables efficient, data-driven assessment of biological aging in clinical settings to facilitate...
Published: 12/5/2025
|
Inventor(s):
Maxime Cannesson
,
Ravi Pal
Keywords(s):
Aging
,
Anesthesiology
,
biomedical sensors
,
clinical care methodology
,
clinical decision support
,
clinical outcome
,
Clinical tool
,
Computer-Aided Diagnosis
,
consumer health products
,
Digital Health
,
digital health system
,
Fatigue (Medical)
,
Health and fitness
,
health risk assessment
,
Machine Learning
,
machine learning modeling
,
Medical Device
,
Medical diagnostics
,
Monitoring (Medicine)
,
personalized medicine
,
Preventive Medicine
,
public health monitoring
,
Smart medical device
,
Structural health monitoring
,
Telemedicine
Category(s):
Diagnostic Markers
,
Diagnostic Markers > Aging
,
Life Science Research Tools
,
Medical Devices
Miniaturized Batteryless and Wireless Biopotential Recorder with Dynamic Bandwidth and Data Rate Update for Power Optimization (Case No. 2026-015)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a miniaturized, batteryless biopotential recorder with adaptive bandwidth, low power consumption, and synchronized data acquisition for next-generation implantable medical devices. Background: Biopotential signals—including electrocardiograms,...
Published: 1/6/2026
|
Inventor(s):
Aydin Babakhani
,
Roshan Mathews
Keywords(s):
Bandwidth (Signal Processing)
,
Bandwidth (Signal Processing) RF Transmitters
,
Clock Signal
,
Computer-Aided Diagnosis
,
Data Acquisition
,
Data Recovery
,
Electrical
,
Electrical Engineering
,
high-data-rate links
,
Integrated Circuit
,
low-power architecture
,
low-power device
,
Mixed-Signal Integrated Circuit
,
Monitoring And Recording Systems
,
Printed Circuit Board
,
Signal Processing
,
System On A Chip
,
Wireless
,
wireless communication
,
wireless connectivity
Category(s):
Electrical
,
Electrical > Signal Processing
,
Electrical > Wireless
,
Electrical > Electronics & Semiconductors > Circuits
,
Medical Devices > Monitoring And Recording Systems
,
Medical Devices
AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...
Published: 8/26/2025
|
Inventor(s):
Aydogan Ozcan
,
Shannon Wongvibulson
,
Paloma Casteleiro Costa
,
Gyeo-Re Han
,
Yuzhu Li
Keywords(s):
Artificial Intelligence
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
Artificial Neural Network
,
artificial-intelligent materials
,
Computer-Aided Diagnosis
,
deep neural networks (DNN)
,
Dermatology
,
electrochemical sensors
,
Medical artificial intelligence (AI)
,
Signal Processing
,
Signal-To-Noise Ratio
,
Skin
,
skin protection
,
wearable
,
wearable electronics
,
wearable medical device
,
wearable medical devices
,
wearable sensors
,
wearable sensors for health
Category(s):
Electrical
,
Electrical > Flexible Electronics
,
Electrical > Sensors
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics > Dermatology
,
Diagnostic Markers
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
|
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
Field-Effect Transistor Biosensors Integrated With Porous Media (Case No. 2023-093)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering in collaboration with the University of Chicago have developed a new diagnostic biosensor by combining field-effect transistors with porous media. Background: Point-of-care (POC) and self-testing tools rely on the real-time monitoring of biomarkers in bodily fluids....
Published: 2/14/2025
|
Inventor(s):
Aydogan Ozcan
,
Hyouarm Joung
,
Hyun-June Jang
,
Junhong Chen
Keywords(s):
Biomarker
,
biomarkers
,
Biomaterial
,
Biosensor
,
Computer-Aided Diagnosis
,
Diagnostic Markers & Platforms
,
Diagnostic Platform Technologies (E.G. Microfluidics)
,
Diagnostic Test
,
Electrical
,
Electrical Engineering
,
electrically-mediated sensing
,
electrochemical sensors
,
enzyme functionalization
,
field-effect transistors (FETs)
,
Medical diagnostics
,
multiplexed analysis
,
Point Of Care
,
point-of-care
,
porous media
,
sample matrix effects
,
transistors
Category(s):
Electrical
,
Electrical > Sensors
,
Medical Devices
,
Medical Devices > Monitoring And Recording Systems
,
Diagnostic Markers
,
Diagnostic Markers > Targets And Assays
,
Platforms
,
Platforms > Diagnostic Platform Technologies
Swabseq Agnostic Diagnostic Platform (Case No. 2023-293)
Summary: UCLA researchers in the Departments of Computer Science and Anatomic Pathology have developed an untargeted NGS diagnostic tool capable of detecting all known and emerging respiratory RNA viruses in a single test, enhancing our capacity to rapidly address public health crises through improved diagnostics. Background: Most clinical diagnostic...
Published: 3/20/2025
|
Inventor(s):
Eleazar Eskin
,
Valerie Arboleda
Keywords(s):
agnostic detection
,
Bioinformatics
,
bioinformatics pipeline
,
Computer-Aided Diagnosis
,
Diagnostic Markers & Platforms
,
Diagnostic Test
,
DNA Sequencing
,
Medical diagnostics
,
metagenomic diagnostic platform
,
meta-genomics
,
next generation sequencing (NGS)
,
Pathogen
,
Pathogenesis
,
Sequencing
Category(s):
Platforms
,
Platforms > Diagnostic Platform Technologies
,
Life Science Research Tools
,
Life Science Research Tools > Research Methods
,
Diagnostic Markers > Targets And Assays
,
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Bioinformatics
Copyright: Smart Histopathological Image Viewer With Guidance Generated by Artificial Intelligence (Case No. 2023-103)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-guided, smart histopathological image viewer to aid clinicians in the identification of regions of interest. Background: Digital pathology has transformed traditional glass histology slides into high-resolution digital slide images, priming the...
Published: 2/14/2025
|
Inventor(s):
Xiang Chen
,
Hongyan Gu
,
Mohammad Haeri
,
Shino Magaki
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Neural Network
,
Clinical decision support system
,
Computer-Aided Diagnosis
,
Digital Health
,
Digital Pathology
,
Histopathological image analysis
,
Histopathology
,
histopathology images
,
Human-AI collaboration
,
Human-AI interaction
,
Medical artificial intelligence (AI)
,
Medical Imaging
,
pathology image analysis
Category(s):
Electrical
,
Electrical > Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
Quantitative COVID-19 Scores Using High Resolution Computed Tomography (UCLA Case No. 2022-225)
Summary: UCLA researchers in the Department of Radiology have developed an innovation algorithm that measures lung damage associated with COVID-19 using computed tomography (CT) data. Background: Computed tomography (CT) scans are essential in diagnosing and monitoring different types of lung damage. At present, radiologist manually inspect CT scans...
Published: 2/14/2025
|
Inventor(s):
Grace Hyun Kim
,
Jonathan Goldin
,
Fereidoun Abtin
,
Pang Yu Teng
,
Matthew Brown
Keywords(s):
Angiogenesis Acute Lung Injury
,
Computer-Aided Design
,
Computer-Aided Diagnosis
,
Computerized Tomography scan (CT)
,
COVID pneumonia
,
CT
,
HRCT
,
Lung
,
Lung Pulmonology
,
Pneumonia
,
Pulmonary fibrosis
,
Respiratory & Pulmonary
,
Software
,
Software & Algorithms
Category(s):
Software & Algorithms
,
Medical Devices > Medical Imaging
,
Therapeutics > Infectious Diseases > COVID
,
Medical Devices > Medical Imaging > CT
2022-241 A TSV-Less Architecture for Power Delivery and I/O for Interposers and Other Advanced Packaging Constructs
Summary: UCLA researchers led by Professor Iyer have developed a wafer-scale processor manufacturing method that does not require standard through-silicon vias (TSVs). Background: With the rise of machine learning applications, demand for devices capable of high-performance computing (HPC) has also increased. Popularity and demand for wafer-scale...
Published: 7/17/2025
|
Inventor(s):
Subramanian Iyer
,
Haoxiang Ren
,
Saptadeep Pal
Keywords(s):
Amorphous Silicon
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
Artificial Neural Network
,
Bandwidth (Signal Processing)
,
Brain-Computer Interface
,
Brain-Computer Interface Body Mass Index
,
Chipset
,
Clock Signal
,
Computer Aided Design & Manufacturing
,
Computer Aided Learning
,
Computer Architecture
,
Computer Monitor
,
Computer Security
,
Computer Virus
,
Computer Vision
,
Computer-Aided Design
,
Computer-Aided Diagnosis
,
Continuum Mechanics Computer Graphics Collision Detection
,
Digital Signal Processing
,
Doping (Semiconductor)
,
Electrical
,
Electrical Engineering
,
Electrical Impedance
,
Electrical Load
,
Electrical Resistance And Conductance
,
Electrical Resistivity And Conductivity
,
Electronics & Semiconductors
,
Graphics Processing Unit
,
Graphics Processing Unit Analog Computer
,
Human-Computer Interaction
,
Machine Learning
,
Machine Vision
,
Manufacturing
,
Microelectronics Semiconductor Device Fabrication
,
Microprocessor
,
Network Analysis (Electrical Circuits)
,
Network On A Chip
,
Organic Semiconductor
,
Quantum Computer
,
Semiconductor
,
Semiconductor Device
,
Semiconductor Device Fabrication
,
Semiconductor Ohmic Contact
,
Semiconductor Risk Assessment
,
Semiconductor Sapphire
,
Semiconductors
,
Signal Processing
,
Silicon
,
Silicon Dioxide
,
Silicon Working Electrode Perovskite (Structure)
,
Silicon-Germanium
,
Supercomputer
,
System On A Chip
,
Tablet Computer
Category(s):
Electrical
,
Electrical > Electronics & Semiconductors
,
Electrical > Signal Processing
,
Materials > Semiconducting Materials
,
Electrical > Electronics & Semiconductors > Circuits
,
Software & Algorithms > Artificial Intelligence & Machine Learning
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