Comprehensive New Diagnostic Technology Research Partnership Announced
By MedImaging International staff writers Posted on 11 Jul 2016 |
A comprehensive agreement for research collaboration on Artificial Intelligence (AI) applications for emergency stroke care applications has been announced.
The AI and deep learning applications will be trained using medical imaging and anonymized patient data from hospital Electronic Medical Record (EMR) systems. The applications will use data archives from all major modalities.
MedyMatch Technology (Andover, MA, USA), a data analytics healthcare company announced the partnership with Capital Health (Pennington, NJ, USA). MedyMatch Technology uses artificial intelligence and cognitive analytics to create real-time decision support tools for use in emergency medicine. The goal of the partnership is to develop a decision support tool to improve outcomes for stroke patients. MedyMatch Technology also announced that this is the first in a series of planned partnerships in the US.
Gene Saragnese, chairman and CEO of MedyMatch Technology, said, "MedyMatch is excited to be working with a leading institution like Capital Health which offers advanced radiology services that help support the critical diagnostics needed for its comprehensive stroke center. True innovation in healthcare only comes from the close collaboration between industry and world-class clinicians. Our partnership with Capital Health brings together breakthrough technology in deep learning and clinical expertise that will accelerate the transformation we all desire in healthcare, better care at lower cost. Having access to an archive of anonymized medical imaging data, and understanding the patient outcomes, represents an unprecedented opportunity for the MedyMatch artificial intelligence to self-learn, auto label and tag, hundreds of diseases."
Related Links:
MedyMatch Technology
Capital Health
The AI and deep learning applications will be trained using medical imaging and anonymized patient data from hospital Electronic Medical Record (EMR) systems. The applications will use data archives from all major modalities.
MedyMatch Technology (Andover, MA, USA), a data analytics healthcare company announced the partnership with Capital Health (Pennington, NJ, USA). MedyMatch Technology uses artificial intelligence and cognitive analytics to create real-time decision support tools for use in emergency medicine. The goal of the partnership is to develop a decision support tool to improve outcomes for stroke patients. MedyMatch Technology also announced that this is the first in a series of planned partnerships in the US.
Gene Saragnese, chairman and CEO of MedyMatch Technology, said, "MedyMatch is excited to be working with a leading institution like Capital Health which offers advanced radiology services that help support the critical diagnostics needed for its comprehensive stroke center. True innovation in healthcare only comes from the close collaboration between industry and world-class clinicians. Our partnership with Capital Health brings together breakthrough technology in deep learning and clinical expertise that will accelerate the transformation we all desire in healthcare, better care at lower cost. Having access to an archive of anonymized medical imaging data, and understanding the patient outcomes, represents an unprecedented opportunity for the MedyMatch artificial intelligence to self-learn, auto label and tag, hundreds of diseases."
Related Links:
MedyMatch Technology
Capital Health
Latest Industry News News
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
- Polish Med-Tech Company BrainScan to Expand Extensively into Foreign Markets
- Hologic Acquires UK-Based Breast Surgical Guidance Company Endomagnetics Ltd.
Channels
Radiography
view channel
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreMRI
view channel
New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
Heart disease remains one of the leading causes of death worldwide. Individuals with conditions such as diabetes or obesity often experience accelerated aging of their hearts, sometimes by decades.... Read more
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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