Automated Ultrasound Analysis Transforms Patient Care
|
By MedImaging International staff writers Posted on 27 Mar 2018 |
|
Image: Ultrasound imaging analysis is accessible anytime via Google Cloud (Photo courtesy of DiA).
Advanced automated tools enable quick, accurate, and reproducible ultrasound imaging analysis, accessible anywhere and anytime via Google Cloud.
A collaboration between Google (Mountain View, CA, USA) and DiA Imaging Analysis (DiA; Be’er Sheva, Israel) will provide users with access to advanced cognitive image processing software, pattern recognition technology, and proprietary sophisticated machine learning algorithms that automatically imitate the way the human eye identifies borders and motion, producing accurate and reliable data. The image quantification and analysis tools enhance decision support for both immediate and remote evaluations, starting with automated echocardiography.
Tools currently available include LVIVO EF, a quick and accurate, fully automated analysis of ejection Fraction (EF) by effectively tracking left ventricular (LV) images, including all frames and beats, thus saving up to 30% of EF evaluation time; LVIVO SWM, an automatic solution to analyze true segmental wall motion (SWM), providing wall motion score, segmental score index, and motion information from 17 LV segments; and LVIVO Strain, a fully automated tool that quickly and accurately produces both segmental and global strain analysis (GLS).
“One of DiA's obvious advantages is its ability to operate cross platforms. Our automated tools can be easily implemented into any ultrasound device and any healthcare IT system, including cloud based platforms, all as part of the physician's workflow,” said Hila Goldman Aslan, CEO of DiA. “Once Google Cloud announced its engagement with the medical imaging industry, it was natural that we join forces to offer our quick and accurate auto ultrasound analysis, together with Google's cloud-enabled capabilities, in order to improve patient outcome.”
Google Cloud Platform is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including software as a service (SaaS) computing, data storage, data analytics, and machine learning.
Related Links:
DiA Imaging Analysis
A collaboration between Google (Mountain View, CA, USA) and DiA Imaging Analysis (DiA; Be’er Sheva, Israel) will provide users with access to advanced cognitive image processing software, pattern recognition technology, and proprietary sophisticated machine learning algorithms that automatically imitate the way the human eye identifies borders and motion, producing accurate and reliable data. The image quantification and analysis tools enhance decision support for both immediate and remote evaluations, starting with automated echocardiography.
Tools currently available include LVIVO EF, a quick and accurate, fully automated analysis of ejection Fraction (EF) by effectively tracking left ventricular (LV) images, including all frames and beats, thus saving up to 30% of EF evaluation time; LVIVO SWM, an automatic solution to analyze true segmental wall motion (SWM), providing wall motion score, segmental score index, and motion information from 17 LV segments; and LVIVO Strain, a fully automated tool that quickly and accurately produces both segmental and global strain analysis (GLS).
“One of DiA's obvious advantages is its ability to operate cross platforms. Our automated tools can be easily implemented into any ultrasound device and any healthcare IT system, including cloud based platforms, all as part of the physician's workflow,” said Hila Goldman Aslan, CEO of DiA. “Once Google Cloud announced its engagement with the medical imaging industry, it was natural that we join forces to offer our quick and accurate auto ultrasound analysis, together with Google's cloud-enabled capabilities, in order to improve patient outcome.”
Google Cloud Platform is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including software as a service (SaaS) computing, data storage, data analytics, and machine learning.
Related Links:
DiA Imaging Analysis
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Remote Controlled Digital Radiography and Fluoroscopy System
Eco Track-DRF - MARS 50/MARS50+/MARS 65/MARS 80
DR Flat Panel Detector
1500L
Computed Tomography (CT) Scanner
Aquilion Serve SP
Latest Ultrasound News
- Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease
- Super-Resolution Imaging Technique Could Improve Evaluation of Cardiac Conditions
- First AI-Powered POC Ultrasound Diagnostic Solution Helps Prioritize Cases Based On Severity
- Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function
- Groundbreaking Technology Enables Precise, Automatic Measurement of Peripheral Blood Vessels
- Deep Learning Advances Super-Resolution Ultrasound Imaging
- Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection
- AI-Guided Ultrasound System Enables Rapid Assessments of DVT
- Focused Ultrasound Technique Gets Quality Assurance Protocol
- AI-Guided Handheld Ultrasound System Helps Capture Diagnostic-Quality Cardiac Images
- Non-Invasive Ultrasound Imaging Device Diagnoses Risk of Chronic Kidney Disease
- Wearable Ultrasound Platform Paves Way for 24/7 Blood Pressure Monitoring On the Wrist
- Diagnostic Ultrasound Enhancing Agent to Improve Image Quality in Pediatric Heart Patients
- AI Detects COVID-19 in Lung Ultrasound Images
- New Ultrasound Technology to Revolutionize Respiratory Disease Diagnoses
- Dynamic Contrast-Enhanced Ultrasound Highly Useful For Interventions
Channels
Radiography
view channel
Novel Breast Imaging System Proves As Effective As Mammography
Breast cancer remains the most frequently diagnosed cancer among women. It is projected that one in eight women will be diagnosed with breast cancer during her lifetime, and one in 42 women who turn 50... Read more
AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing,... Read more
MRI
view channel
Low-Cost Whole-Body MRI Device Combined with AI Generates High-Quality Results
Magnetic Resonance Imaging (MRI) has significantly transformed healthcare, providing a noninvasive, radiation-free method for detailed imaging. It is especially promising for the future of medical diagnosis... Read more
World's First Whole-Body Ultra-High Field MRI Officially Comes To Market
The world's first whole-body ultra-high field (UHF) MRI has officially come to market, marking a remarkable advancement in diagnostic radiology. United Imaging (Shanghai, China) has secured clearance from the U.... Read more
Nuclear Medicine
view channel
New PET Biomarker Predicts Success of Immune Checkpoint Blockade Therapy
Immunotherapies, such as immune checkpoint blockade (ICB), have shown promising clinical results in treating melanoma, non-small cell lung cancer, and other tumor types. However, the effectiveness of these... Read more![Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2024-05-09/JNM May 2024 Hofman.jpg "Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)"){kind=small}
New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients
Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... Read more
New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure
Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... Read more
New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access
The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read moreGeneral/Advanced Imaging
view channel
Bone Density Test Uses Existing CT Images to Predict Fractures
Osteoporotic fractures are not only devastating and deadly, especially hip fractures, but also impose significant costs. They rank among the top chronic diseases in terms of disability-adjusted life years... Read more
AI Predicts Cardiac Risk and Mortality from Routine Chest CT Scans
Heart disease remains the leading cause of death and is largely preventable, yet many individuals are unaware of their risk until it becomes severe. Early detection through screening can reveal heart issues,... Read more
Imaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more
Industry News
view channel
Hologic Acquires UK-Based Breast Surgical Guidance Company Endomagnetics Ltd.
Hologic, Inc. (Marlborough, MA, USA) has entered into a definitive agreement to acquire Endomagnetics Ltd. (Cambridge, UK), a privately held developer of breast cancer surgery technologies, for approximately... Read more
Bayer and Google Partner on New AI Product for Radiologists
Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more
