Visage Imaging Debuts AI Offerings at Chicago Show
By MedImaging International staff writers Posted on 27 Nov 2017 |

Image: The Visage 7 is the first and only system to combine both AI research and AI-assisted diagnostic interpretation in the same Enterprise Imaging platform (Photo courtesy of Visage Imaging).
Visage Imaging, Inc. (Richmond, VIC, Australia) debuted its artificial intelligence (AI) offerings at the Radiological Society of North America (RSNA) 2017 annual meeting as part of the inaugural RSNA Machine Learning Showcase (November 26-30, Chicago, Illinois).
Visage aims to utilize its R&D capability and market leading technology to deliver cutting-edge AI offerings to optimize Enterprise Imaging worldwide. At RSNA 2017, the company showcased Visage 7 and the technology, which makes it the first and only system to combine both AI research and AI-assisted diagnostic interpretation in the same Enterprise Imaging platform.
“Historically, imaging platforms for research and diagnostic purposes have been totally separate. Visage’s GPU-based architecture is ideal for AI and, combined with our open APIs, will enable us to unify research and diagnostic imaging in ways not available before,” said Malte Westerhoff, PhD, co-founder and global CTO of Visage Imaging. “This will enable AI breakthroughs to advance patient care by giving radiologists faster access to new tools that help increase productivity and improve clinical accuracy.”
The company will also show algorithms working on the ultrafast and highly scalable Visage 7 Enterprise Imaging Platform. Both internally developed algorithms as well as third party algorithms from academic institutions and other companies will be demonstrated.
“AI is evolving rapidly and has the potential to transform Enterprise Imaging in ways previously not imagined,” said Dr. Sam Hupert, CEO of Visage Imaging. “We are well placed to capitalize on this transformation as we look to leverage our three key assets, namely our R&D capability, our technology platform and our growing base of blue chip clients.”
The company’s first AI innovations for Visage 7 are works-in-progress and are scheduled to be released in the first half of 2018.
Visage aims to utilize its R&D capability and market leading technology to deliver cutting-edge AI offerings to optimize Enterprise Imaging worldwide. At RSNA 2017, the company showcased Visage 7 and the technology, which makes it the first and only system to combine both AI research and AI-assisted diagnostic interpretation in the same Enterprise Imaging platform.
“Historically, imaging platforms for research and diagnostic purposes have been totally separate. Visage’s GPU-based architecture is ideal for AI and, combined with our open APIs, will enable us to unify research and diagnostic imaging in ways not available before,” said Malte Westerhoff, PhD, co-founder and global CTO of Visage Imaging. “This will enable AI breakthroughs to advance patient care by giving radiologists faster access to new tools that help increase productivity and improve clinical accuracy.”
The company will also show algorithms working on the ultrafast and highly scalable Visage 7 Enterprise Imaging Platform. Both internally developed algorithms as well as third party algorithms from academic institutions and other companies will be demonstrated.
“AI is evolving rapidly and has the potential to transform Enterprise Imaging in ways previously not imagined,” said Dr. Sam Hupert, CEO of Visage Imaging. “We are well placed to capitalize on this transformation as we look to leverage our three key assets, namely our R&D capability, our technology platform and our growing base of blue chip clients.”
The company’s first AI innovations for Visage 7 are works-in-progress and are scheduled to be released in the first half of 2018.
Latest RSNA 2017 News
- Siemens Healthineers Launches New Mammography System at RSNA
- New Real-Time Imaging AI Platform Unveiled
- Bracco Diagnostics Highlights Advancement in Diagnostic Imaging Portfolio
- Varex Imaging Showcases New X-ray Components at Trade Fair
- Samsung Unveils New Mobile CT at RSNA 2017
- Thales Unveils World’s First Portable Detector with Embedded Patient ID
- PACSHealth Showcases DoseMonitor Upgrade at Chicago Trade Show
- Carestream Exhibits New Diagnostic Imaging Solutions in Chicago
- Siemens Healthineers Spotlights Advances in Breast Imaging
- Agfa HealthCare Presents Advances in AI and Machine Learning at RSNA 2017
- Philips Showcases New Imaging Systems and Informatics Portfolio at RSNA
- Fujifilm Debuts New FDR Go PLUS Version Portable System
- Canon Showcases New DR Systems at Medical Imaging Fair
- Aspect Imaging Presents Neonatal MRI System at RSNA 2017
- Carestream Joins Zebra Medical Vision to Provide Access to AI Algorithms
Channels
Radiography
view channel
AI Detects Fatty Liver Disease from Chest X-Rays
Fatty liver disease, which results from excess fat accumulation in the liver, is believed to impact approximately one in four individuals globally. If not addressed in time, it can progress to severe conditions... Read more
AI Detects Hidden Heart Disease in Existing CT Chest Scans
Coronary artery calcium (CAC) is a major indicator of cardiovascular risk, but its assessment typically requires a specialized “gated” CT scan that synchronizes with the heartbeat. In contrast, most chest... Read moreMRI
view channel
New MRI Technique Reveals Hidden Heart Issues
Traditional exercise stress tests conducted within an MRI machine require patients to lie flat, a position that artificially improves heart function by increasing stroke volume due to gravity-driven blood... Read more
Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
Women with extremely dense breasts face a higher risk of missed breast cancer diagnoses, as dense glandular and fibrous tissue can obscure tumors on mammograms. While breast MRI is recommended for supplemental... Read moreUltrasound
view channel
Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more
New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
Ultrasound computed tomography (USCT) presents a safer alternative to imaging techniques like X-ray computed tomography (commonly known as CT or “CAT” scans) because it does not produce ionizing radiation.... Read moreNuclear Medicine
view channel
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read moreGeneral/Advanced Imaging
view channel
CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
As colorectal cancer remains the second leading cause of cancer-related deaths worldwide, early detection through screening is vital to reduce advanced-stage treatments and associated costs.... Read more
First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
Currently, patients with conditions such as heart failure, pneumonia, or respiratory distress often require multiple imaging procedures that are intermittent, disruptive, and involve high levels of radiation.... Read more
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... 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 moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more