MDW Unveils First Radiology Blockchain Platform at RSNA 2018
|
By MedImaging International staff writers Posted on 26 Nov 2018 |

Image: MDW unveiled the first radiology blockchain platform at RSNA this year (Photo courtesy of MDW).
Medical Diagnostic Web {(MDW) New York, NY, USA} unveiled the first radiology blockchain platform designed to connect all players in the diagnostic digital imaging ecosystem at the 2018 Radiological Society of North America (RSNA) annual meeting, November 25-30 in Chicago, Ill., USA.
With its decentralized communications infrastructure, encrypted data transmission and immutable audit trails, MDW’s blockchain platform enables individual radiologists and radiology groups to securely forge new business partnerships and benefit from immediate compensation for services rendered.
Radiology service organizations can take advantage of as-needed resources to transact with new clients, boost reading volume and decrease exam TAT. The platform also provides extensive anatomized data for the development of artificial intelligence (AI) imaging algorithms. Delivering solutions for many of today’s significant imaging problems, the blockchain platform significantly improves service access and delivery, results communication, speed of payment for services and data integration across the continuum of care.
The MDW platform cost-effectively harnesses the power of the medical imaging community to deliver image interpretation though blockchain technology. Patients, referring physicians, radiologists, cardiologists, other medical specialists, diagnostic facilities, hospitals, private and government payers, legal practices and more can order interpretation through credentialed platform participants.
“Today healthcare is facing a significant international shortage of radiologists,” said Michael Yuz, M.D, chief medical strategist for MDW. “Within the next several years, the US will face a similar escalating problem. Breaking down provider corporate silos and connecting radiologists across traditional disparate healthcare entities is more important than ever before to make the most of healthcare resources, manage costs and ensure efficient service delivery.”
Related Links:
Medical Diagnostic Web
With its decentralized communications infrastructure, encrypted data transmission and immutable audit trails, MDW’s blockchain platform enables individual radiologists and radiology groups to securely forge new business partnerships and benefit from immediate compensation for services rendered.
Radiology service organizations can take advantage of as-needed resources to transact with new clients, boost reading volume and decrease exam TAT. The platform also provides extensive anatomized data for the development of artificial intelligence (AI) imaging algorithms. Delivering solutions for many of today’s significant imaging problems, the blockchain platform significantly improves service access and delivery, results communication, speed of payment for services and data integration across the continuum of care.
The MDW platform cost-effectively harnesses the power of the medical imaging community to deliver image interpretation though blockchain technology. Patients, referring physicians, radiologists, cardiologists, other medical specialists, diagnostic facilities, hospitals, private and government payers, legal practices and more can order interpretation through credentialed platform participants.
“Today healthcare is facing a significant international shortage of radiologists,” said Michael Yuz, M.D, chief medical strategist for MDW. “Within the next several years, the US will face a similar escalating problem. Breaking down provider corporate silos and connecting radiologists across traditional disparate healthcare entities is more important than ever before to make the most of healthcare resources, manage costs and ensure efficient service delivery.”
Related Links:
Medical Diagnostic Web
Latest RSNA 2018 News
- New AI-Powered Lung Imaging Solution Launched at RSNA 2018
- Agfa Brings Intelligent Radiography to RSNA 2018
- Carestream Displays Several IT Offerings at Radiology Congress
- Double Black Imaging Announces Expanded Clinical LCD Line at Trade Show
- Lunit Unveils AI-Based Mammography Solution at RSNA 2018
- Guerbet Showcases Ongoing Collaboration with IBM Watson at Radiology Trade Fair
- Fujifilm Showcases New DR Detectors and AI Initiative in Chicago
- M*Modal Launches Cloud-Based Version of AI-Powered Reporting Solution
- Teledyne DALSA Displays Xineos Family of CMOS X-ray Detectors
- SuperSonic Imagine Showcases New Ultrasound System at RSNA 2018
- CIVCO Medical Solutions Introduces Next-Generation of Ultrasound Accessories
- Subtle Medical Showcases Al for PET and MRI Scans at RSNA 2018
- Philips Launches New Platform to Enable Development of AI Assets
Channels
Radiography
view channel
New Contrast Agent Enables Low-Dose X-Ray Joint Imaging
X-ray imaging offers limited visualization of soft tissues like cartilage, complicating evaluation of joint pain and degenerative disease. Clinicians often rely on joint-space narrowing as a proxy for... Read more
AI Boosts Breast Cancer Detection and Cuts Screening Workload
Breast cancer screening programs face rising demand and persistent workforce shortages, straining double-reading workflows and delaying care. Early detection is critical to reduce mortality and minimize... Read moreMRI
view channel
MRI Tool Enables Long-Term Tracking of Transplanted Cardiac Cells
Cell therapies for myocardial injury face a persistent hurdle: clinicians cannot easily monitor whether transplanted cells survive and where they persist in the heart. This limits optimization of dosing,... Read more
MRI-Based AI Tool Supports Differentiation of Parkinsonian Syndromes
Clinicians often struggle to differentiate Parkinsonian syndromes at initial presentation, when symptom overlap can obscure disease trajectory and delay targeted care. Imaging markers derived from diffusion... Read more
MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
Glioblastoma is marked by rapid growth and diffuse infiltration that complicate prognosis and treatment planning. Clinicians need objective tools that capture both how these tumors expand and how they... Read more
Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
Patients who present with myocardial infarction but show no obstructive coronary disease often leave without a definitive diagnosis. That uncertainty complicates in-hospital decision-making and post-discharge... Read moreUltrasound
view channel
New Ultrasound AI Tool Supports Rapid Prenatal Assessment
Accurate gestational age estimation guides prenatal screening, detection of complications, and timely intervention. Access to ultrasound and trained sonographers is uneven, with nearly half of U.... Read more
New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
Metabolic dysfunction-associated steatotic liver disease (MASLD) is rising along with obesity and diabetes, making accurate, scalable measurement of hepatic fat a clinical priority. Biopsy is invasive... Read moreNuclear Medicine
view channel
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
New Breast Imaging Viewer Unifies Modalities and Enhances Clinical Workflow
Breast evaluation often requires correlating findings from mammography, digital breast tomosynthesis, MRI, ultrasound, and newer volumetric techniques. Switching between separate viewers to track changes... Read more
Hybrid AI System Improves Early Lung Cancer Detection on CT
Early lung cancer often presents as tiny nodules on computed tomography (CT) that are difficult to distinguish from normal tissue, leading to delayed diagnoses. Missed or late findings limit timely intervention... Read moreImaging IT
view channel
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more








