CT-Based Analysis Platform Detects Brain Bleeds
|
By MedImaging International staff writers Posted on 19 Nov 2018 |
|
Image: ICH identified on a CT as an aid for stroke assessment (Photo courtesy of MaxQ AI).
A new medical imaging app uses artificial intelligence (AI) to identify intracranial hemorrhage (ICH) from computed tomography (CT) scans.
The MaxQ AI (Tel Aviv, Israel) Accipio Ix platform is an image-based decision support tool that uses AI technology to quickly assess patients suspected of head trauma or stroke so as to rule out ICH. The software app uses non-contrast CT images and processes them in the cloud, using proprietary algorithms that note changes and highlight suspicious, potential areas of bleeding. The enhanced images are sent back to the doctor’s workstation, together with the original CT scan.
The algorithms were developed using deep learning (DL) and billions of images from millions of cases acquired through collaborations with hospitals such as Hadassah Medical Center (Jerusalem, Israel) and Massachusetts General Hospital (Boston, MA, USA). By analyzing multiple series of images, the Accipio Ix algorithm learned what an ICH looks like and set benchmarks for baseline readings. Using the platform, emergency healthcare providers can prioritize clinical assessment and care of patients with hemorrhagic stroke or intracranial trauma within three to five minutes.
“MaxQ’s Accipio application, of which Accipio Ix is the first part of the ecosystem, provides physicians with actionable intelligence, improving their future ability to make a timely, accurate, and confident diagnosis of a brain bleed,” said Gene Saragnese, chairman and CEO of MaxQ AI. “The Accipio line is designed to be integrated with most existing medical workflow platforms and imaging technologies, including CT, MRI and ultrasound, both locally and on cloud-based servers.”
MaxQ has announced partnerships with IBM Watson and Samsung NeuroLogica to integrate its products into their radiology software and hardware platforms. Samsung NeuroLogica plans to use the software in mobile stroke units equipped with its CereTom CT scanner to allow staff to differentiate between ischemic strokes and hemorrhagic strokes in the field, and allow them to give clot busters while en-route to the hospital. The company also signed a five-year distribution deal with GE Healthcare in November 2017.
Related Links:
MaxQ AI
The MaxQ AI (Tel Aviv, Israel) Accipio Ix platform is an image-based decision support tool that uses AI technology to quickly assess patients suspected of head trauma or stroke so as to rule out ICH. The software app uses non-contrast CT images and processes them in the cloud, using proprietary algorithms that note changes and highlight suspicious, potential areas of bleeding. The enhanced images are sent back to the doctor’s workstation, together with the original CT scan.
The algorithms were developed using deep learning (DL) and billions of images from millions of cases acquired through collaborations with hospitals such as Hadassah Medical Center (Jerusalem, Israel) and Massachusetts General Hospital (Boston, MA, USA). By analyzing multiple series of images, the Accipio Ix algorithm learned what an ICH looks like and set benchmarks for baseline readings. Using the platform, emergency healthcare providers can prioritize clinical assessment and care of patients with hemorrhagic stroke or intracranial trauma within three to five minutes.
“MaxQ’s Accipio application, of which Accipio Ix is the first part of the ecosystem, provides physicians with actionable intelligence, improving their future ability to make a timely, accurate, and confident diagnosis of a brain bleed,” said Gene Saragnese, chairman and CEO of MaxQ AI. “The Accipio line is designed to be integrated with most existing medical workflow platforms and imaging technologies, including CT, MRI and ultrasound, both locally and on cloud-based servers.”
MaxQ has announced partnerships with IBM Watson and Samsung NeuroLogica to integrate its products into their radiology software and hardware platforms. Samsung NeuroLogica plans to use the software in mobile stroke units equipped with its CereTom CT scanner to allow staff to differentiate between ischemic strokes and hemorrhagic strokes in the field, and allow them to give clot busters while en-route to the hospital. The company also signed a five-year distribution deal with GE Healthcare in November 2017.
Related Links:
MaxQ AI
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
CT Phantom
CIRS Model 610 AAPM CT Performance Phantom
Ultrasound Doppler System
Doppler BT-200
Ultrasound System
Acclarix AX9
Latest General/Advanced Imaging News
- PET Scans Reveal Hidden Inflammation in Multiple Sclerosis Patients
- Artificial Intelligence Evaluates Cardiovascular Risk from CT Scans
- New AI Method Captures Uncertainty in Medical Images
- CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
- Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
- CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
- Minimally Invasive Procedure Could Help Patients Avoid Thyroid Surgery
- Self-Driving Mobile C-Arm Reduces Imaging Time during Surgery
- AR Application Turns Medical Scans Into Holograms for Assistance in Surgical Planning
- Imaging Technology Provides Ground-Breaking New Approach for Diagnosing and Treating Bowel Cancer
- CT Coronary Calcium Scoring Predicts Heart Attacks and Strokes
- AI Model Detects 90% of Lymphatic Cancer Cases from PET and CT Images
- Breakthrough Technology Revolutionizes Breast Imaging
- State-Of-The-Art System Enhances Accuracy of Image-Guided Diagnostic and Interventional Procedures
- Catheter-Based Device with New Cardiovascular Imaging Approach Offers Unprecedented View of Dangerous Plaques
- AI Model Draws Maps to Accurately Identify Tumors and Diseases in Medical Images
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
World's First Sensor Detects Errors in MRI Scans Using Laser Light and Gas
MRI scanners are daily tools for doctors and healthcare professionals, providing unparalleled 3D imaging of the brain, vital organs, and soft tissues, far surpassing other imaging technologies in quality.... Read more
Diamond Dust Could Offer New Contrast Agent Option for Future MRI Scans
Gadolinium, a heavy metal used for over three decades as a contrast agent in medical imaging, enhances the clarity of MRI scans by highlighting affected areas. Despite its utility, gadolinium not only... Read more.jpg "Image: The emerging role of MRI alongside PSA testing is redefining prostate cancer diagnostics (Photo courtesy of 123RF)")
Combining MRI with PSA Testing Improves Clinical Outcomes for Prostate Cancer Patients
Prostate cancer is a leading health concern globally, consistently being one of the most common types of cancer among men and a major cause of cancer-related deaths. In the United States, it is the most... Read more
Ultrasound
view channel
Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function
Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more.jpg "Image: The Sonic Lumen Tomography (SLT) intravascular ultrasound system has received FDA 510(k) clearance (Photo courtesy of Provisio Medical)")
Groundbreaking Technology Enables Precise, Automatic Measurement of Peripheral Blood Vessels
The current standard of care of using angiographic information is often inadequate for accurately assessing vessel size in the estimated 20 million people in the U.S. who suffer from peripheral vascular disease.... Read more
Deep Learning Advances Super-Resolution Ultrasound Imaging
Ultrasound localization microscopy (ULM) is an advanced imaging technique that offers high-resolution visualization of microvascular structures. It employs microbubbles, FDA-approved contrast agents, injected... Read more
Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection
Biofilms, formed by bacteria aggregating into dense communities for protection against harsh environmental conditions, are a significant contributor to various infectious diseases. Biofilms frequently... Read moreNuclear Medicine
view channel
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 more
New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more
AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read moreImaging 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
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
